{"id":1381,"date":"2018-06-22T11:23:31","date_gmt":"2018-06-22T03:23:31","guid":{"rendered":"http:\/\/www.tianyuaninfo.com\/wordpress\/?p=1381"},"modified":"2018-06-22T11:31:32","modified_gmt":"2018-06-22T03:31:32","slug":"%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e5%9c%a8%e7%89%a9%e8%81%94%e7%bd%91%e5%a4%a7%e6%95%b0%e6%8d%ae%e5%92%8c%e6%b5%81%e5%88%86%e6%9e%90%e4%b8%ad%e7%9a%84%e5%ba%94%e7%94%a8","status":"publish","type":"post","link":"http:\/\/www.tianyuaninfo.com\/?p=1381","title":{"rendered":"\u6df1\u5ea6\u5b66\u4e60\u5728\u7269\u8054\u7f51\u5927\u6570\u636e\u548c\u6d41\u5206\u6790\u4e2d\u7684\u5e94\u7528"},"content":{"rendered":"
<\/p>\n
\u5728\u8fd9\u4e2a\u7269\u8054\u7f51\u4e0e\u4f20\u7edf\u5546\u4e1a\u3001\u751f\u6d3b\u6df1\u5ea6\u878d\u5408\u7684\u65f6\u4ee3\uff0c\u5404\u79cd\u5404\u6837\u7684\u4f20\u611f\u5668\u6bcf\u5929\u90fd\u5728\u6536\u96c6\u5e76\u4ea7\u751f\u7740\u6d89\u53ca\u5404\u4e2a\u9886\u57df\u7684\u6570\u636e\u3002<\/p>\n
\u7531\u4e8e\u5546\u4e1a\u6548\u7387\u548c\u751f\u6d3b\u8d28\u91cf\u63d0\u5347\u65b9\u9762\u7684\u8bc9\u6c42\uff0c\u5bf9\u7269\u8054\u7f51\u5927\u6570\u636e\u6d41\u8fdb\u884c\u5206\u6790\u6210\u4e3a\u5b66\u754c\u53ca\u4ea7\u4e1a\u754c\u5171\u540c\u7684\u7814\u7a76\u65b9\u5411\u3002<\/p>\n
\u672c\u6587\u5bf9\u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60\u6765\u6539\u8fdb\u7269\u8054\u7f51\u9886\u57df\u7684\u6570\u636e\u5206\u6790\u548c\u5b66\u4e60\u65b9\u6cd5\u8fdb\u884c\u4e86\u8be6\u7ec6\u7684\u4ecb\u7ecd\uff0c\u4ece\u673a\u5668\u5b66\u4e60\u89c6\u89d2\uff0c\u5c06\u5904\u7406\u7269\u8054\u7f51\u6570\u636e\u7684\u65b9\u6cd5\u5206\u4e3a\u7269\u8054\u7f51\u5927\u6570\u636e\u5206\u6790\u548c\u7269\u8054\u7f51\u6d41\u6570\u636e\u5206\u6790\u3002\u5bf9\u76ee\u524d\u4e0d\u540c\u7684\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u8fdb\u884c\u4e86\u603b\u7ed3\uff0c\u5e76\u8be6\u7ec6\u8ba8\u8bba\u4e86\u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u5bf9\u7269\u8054\u7f51\u6570\u636e\u8fdb\u884c\u5206\u6790\u7684\u4f18\u52bf\uff0c\u4ee5\u53ca\u672a\u6765\u9762\u4e34\u7684\u6311\u6218\u3002<\/p>\n
\u4e3a\u4e86\u66f4\u597d\u7684\u5728\u7269\u8054\u7f51\u9886\u57df\u5185\u5e94\u7528\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\uff0c\u672c\u6587\u5206\u6790\u4e86\u7269\u8054\u7f51\u6570\u636e\u7684\u5173\u952e\u7279\u5f81\u548c\u4e3b\u8981\u95ee\u9898\uff0c\u5bf9\u76ee\u524d\u6700\u5148\u8fdb\u7684\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u53ca\u5176\u5728\u7269\u8054\u7f51\u9886\u57df\u7684\u5e94\u7528\u8fdb\u884c\u4e86\u8be6\u7ec6\u7684\u603b\u7ed3\uff0c\u540c\u65f6\uff0c\u5bf9\u76ee\u524d\u5e94\u7528\u4e86\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u7684\u5927\u91cf\u7269\u8054\u7f51\u5e94\u7528\u8fdb\u884c\u4e86\u4ecb\u7ecd\uff0c\u5e76\u4e14\u5bf9\u4e0d\u540c\u7c7b\u578b\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5728\u5404\u79cd\u7269\u8054\u7f51\u9886\u57df\u7684\u5e94\u7528\u8fdb\u884c\u4e86\u6982\u62ec\u548c\u5bf9\u6bd4\uff0c\u5f3a\u8c03\u4e86\u6df1\u5ea6\u5b66\u4e60\u4e0e\u7269\u8054\u7f51\u5e94\u7528\u6210\u529f\u7ed3\u5408\u6240\u9762\u4e34\u7684\u6311\u6218\u548c\u672a\u6765\u7684\u7814\u7a76\u65b9\u5411\u3002<\/p>\n
\u6587\u7ae0\u7ed3\u6784<\/strong> \u00a0 \u00a0 \u00a0 \u00a0 \u7269\u8054\u7f51\u5feb\u901f\u6d41\u6570\u636e<\/strong><\/p>\n \u76ee\u524d\u6d41\u6570\u636e\u5206\u6790\u90fd\u662f\u57fa\u4e8e\u6570\u636e\u5e76\u884c\u8ba1\u7b97\u6216\u589e\u91cf\u5904\u7406\u7684\u6846\u67b6\uff0c\u5c3d\u7ba1\u8fd9\u4e9b\u6280\u672f\u51cf\u5c11\u4e86\u4ece\u6d41\u6570\u636e\u5206\u6790\u6846\u67b6\u8fd4\u56de\u54cd\u5e94\u7684\u65f6\u95f4\u5ef6\u8fdf\uff0c\u5bf9\u4e8e\u7269\u8054\u7f51\u5e94\u7528\u7684\u4e25\u683c\u65f6\u95f4\u8981\u6c42\uff0c\u5b83\u4eec\u5e76\u4e0d\u662f\u6700\u4f73\u65b9\u6848\u3002<\/p>\n \u7269\u8054\u7f51\u9700\u8981\u5728\u6570\u636e\u6e90\u9644\u8fd1\u7684\u5e73\u53f0(\u751a\u81f3\u662f\u7269\u8054\u7f51\u8bbe\u5907\u81ea\u8eab)\u4e0a\u8fdb\u884c\u5feb\u901f\u6d41\u6570\u636e\u5206\u6790\uff0c\u4ee5\u8fbe\u5230\u5b9e\u65f6\u6216\u8fd1\u5b9e\u65f6\u6027\u7684\u8981\u6c42\uff0c\u4f20\u7edf\u7684\u6d41\u6570\u636e\u5206\u6790\u65b9\u6cd5\u5219\u9762\u4e34\u7740\u8ba1\u7b97\u3001\u5b58\u50a8\u4ee5\u53ca\u6570\u636e\u6e90\u80fd\u91cf\u65b9\u9762\u7684\u5c40\u9650\u548c\u6311\u6218\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 \u7269\u8054\u7f51\u5927\u6570\u636e<\/strong><\/p>\n \u7269\u8054\u7f51\u5927\u6570\u636e\u5177\u6709\u201c6V\u201d\u7279\u70b9\uff1a<\/p>\n \u5bb9\u91cf(Volume)\uff1a \u6570\u636e\u91cf\u662f\u5c06\u6570\u636e\u96c6\u89c6\u4e3a\u5927\u6570\u636e\u3001\u6216\u4f20\u7edf\u7684\u5927\u89c4\u6a21\/\u8d85\u5927\u6570\u636e\u7684\u4e00\u4e2a\u51b3\u5b9a\u6027\u56e0\u7d20\uff0c\u4f7f\u7528\u7269\u8054\u7f51\u8bbe\u5907\u4ea7\u751f\u7684\u6570\u636e\u91cf\u6bd4\u4ee5\u524d\u8981\u591a\u5f97\u591a\uff0c\u660e\u663e\u7b26\u5408\u8fd9\u4e00\u7279\u70b9\u3002<\/p>\n \u901f\u5ea6(Velocity)\uff1a \u7269\u8054\u7f51\u5927\u6570\u636e\u4ea7\u751f\u548c\u5904\u7406\u901f\u7387\u8981\u8db3\u591f\u9ad8\uff0c\u4ee5\u652f\u6301\u5b9e\u65f6\u5927\u6570\u636e\u7684\u53ef\u7528\u6027\u3002\u9274\u4e8e\u8fd9\u79cd\u9ad8\u6570\u636e\u7387\uff0c\u4e5f\u8bc1\u660e\u4e86\u9700\u8981\u5148\u8fdb\u7684\u5de5\u5177\u548c\u6280\u672f\u5206\u6790\u624d\u80fd\u6709\u6548\u5730\u8fd0\u4f5c\u3002<\/p>\n \u591a\u6837\u6027(Variety)\uff1a \u4e00\u822c\u6765\u8bf4\uff0c\u5927\u6570\u636e\u6709\u4e0d\u540c\u7684\u5f62\u5f0f\u548c\u7c7b\u578b\u3002\u8fd9\u53ef\u80fd\u5305\u62ec\u7ed3\u6784\u5316\u7684\u3001\u534a\u7ed3\u6784\u5316\u7684\u548c\u975e\u7ed3\u6784\u5316\u7684\u6570\u636e\u3002\u5404\u79cd\u5404\u6837\u7684\u6570\u636e\u7c7b\u578b\u53ef\u4ee5\u901a\u8fc7\u7269\u8054\u7f51\u4ea7\u751f\uff0c\u5982\u6587\u672c\u3001\u97f3\u9891\u3001\u89c6\u9891\u3001\u4f20\u611f\u5668\u6570\u636e\u7b49\u7b49\u3002<\/p>\n \u771f\u5b9e\u6027(Veracity)\uff1a \u771f\u5b9e\u6027\u662f\u6307\u8d28\u91cf\uff0c\u4e00\u81f4\u6027\uff0c\u548c\u6570\u636e\u7684\u53ef\u4fe1\u6027\uff0c\u6709\u771f\u5b9e\u6027\u7684\u6570\u636e\u624d\u80fd\u8fdb\u884c\u51c6\u786e\u7684\u5206\u6790\u3002\u8fd9\u4e00\u70b9\u5bf9\u4e8e\u7269\u8054\u7f51\u6765\u8bf4\u5c24\u5176\u91cd\u8981\uff0c\u7279\u522b\u662f\u90a3\u4e9b\u7fa4\u4f53\u611f\u77e5\u6570\u636e\u3002<\/p>\n \u6613\u53d8\u6027(Variability)\uff1a \u8fd9\u4e2a\u5c5e\u6027\u662f\u6307\u6570\u636e\u6d41\u7684\u901f\u7387\u4e0d\u540c\u3002\u7531\u4e8e\u7269\u8054\u7f51\u5e94\u7528\u7684\u6027\u8d28\uff0c\u4e0d\u540c\u7684\u6570\u636e\u751f\u6210\u7ec4\u4ef6\u53ef\u80fd\u4f1a\u6709\u4e0d\u4e00\u81f4\u7684\u6570\u636e\u6d41\u3002\u6b64\u5916\uff0c\u5728\u7279\u5b9a\u65f6\u95f4\uff0c\u4e00\u4e2a\u6570\u636e\u6e90\u7684\u6570\u636e\u52a0\u8f7d\u901f\u7387\u53ef\u80fd\u4e0d\u540c\u3002\u4f8b\u5982\uff0c\u5229\u7528\u7269\u8054\u7f51\u4f20\u611f\u5668\u7684\u505c\u8f66\u670d\u52a1\u5e94\u7528\u5728\u9ad8\u5cf0\u671f\u7684\u6570\u636e\u52a0\u8f7d\u4f1a\u8fbe\u5230\u5cf0\u503c\u3002<\/p>\n \u4ef7\u503c(Value)\uff1a \u4ef7\u503c\u662f\u6307\u5927\u6570\u636e\u8f6c\u5316\u6210\u4e3a\u6709\u7528\u7684\u4fe1\u606f\u548c\u5185\u5bb9\uff0c\u4e3a\u7ec4\u7ec7\u5e26\u6765\u7ade\u4e89\u4f18\u52bf\u3002\u6570\u636e\u7684\u4ef7\u503c\u7684\u9ad8\u5ea6\u4e0d\u4ec5\u4ec5\u53d6\u51b3\u4e8e\u5bf9\u6570\u636e\u7684\u5904\u7406\u8fc7\u7a0b\u6216\u670d\u52a1\uff0c\u8fd8\u53d6\u51b3\u4e8e\u5bf9\u5f85\u6570\u636e\u7684\u65b9\u5f0f\u3002<\/p>\n \u6570\u636e\u6d41\u5904\u7406\u7684\u4e3b\u8981\u969c\u788d\u662f\u7f3a\u5c11\u80fd\u90e8\u7f72\u5728\u7cfb\u7edf\u8fb9\u7f18\uff0c\u751a\u81f3\u662f\u7269\u8054\u7f51\u8bbe\u5907\u4e0a\u7684\u6846\u67b6\u6216\u7b97\u6cd5\u3002\u5f53\u91c7\u7528\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u65f6\uff0c\u4e5f\u8981\u6298\u8877\u8003\u8651\u8fd0\u884c\u5728\u7cfb\u7edf\u8fb9\u7f18\u7684\u7f51\u7edc\u7684\u6df1\u5ea6\u548c\u6027\u80fd\u3002<\/p>\n \u6df1\u5ea6\u5b66\u4e60<\/p>\n \u4e0e\u5176\u4ed6\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u76f8\u6bd4\uff0c\u6df1\u5ea6\u5b66\u4e60\u7ed3\u6784\u5728\u8fd1\u51e0\u5e74\u53d7\u5230\u8d8a\u6765\u8d8a\u5e7f\u6cdb\u7684\u5173\u6ce8\u3002 Google Trend\u663e\u793a\u8fd1\u51e0\u5e74\u5bf9\u6df1\u5ea6\u5b66\u4e60\u7684\u5173\u6ce8\u5448\u4e0a\u5347\u8d8b\u52bf<\/strong> \u7ed3\u6784<\/p>\n 1)\u5377\u79ef\u795e\u7ecf\u7f51\u7edc(Convolutional Neural Networks\uff0cCNN)<\/strong><\/p>\n CNN\u7684\u6838\u5fc3\u7ed3\u6784\u662f\u5377\u79ef\u5c42\uff0c\u6709\u4e00\u7cfb\u5217\u53ef\u5b66\u4e60\u7684\u53c2\u6570\uff0c\u79f0\u4f5c\u6ee4\u6ce2\u5668\u3002\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u6ee4\u6ce2\u5668\u5728\u5168\u56fe\u6309\u7167\u5377\u79ef\u987a\u5e8f\u8fdb\u884c\u79fb\u52a8\uff0c\u8ba1\u7b97\u8f93\u5165\u548c\u6ee4\u6ce2\u5668\u7684\u4e58\u79ef\uff0c\u5f97\u5230\u8be5\u6ee4\u6ce2\u5668\u7684\u7279\u5f81\u56fe\u3002CNN\u7684\u53e6\u4e00\u4e2a\u7ed3\u6784\u662f\u6c60\u5316\u5c42\uff0c\u5c06\u8f93\u5165\u5212\u5206\u6210\u4e0d\u91cd\u53e0\u7684\u533a\u57df\uff0c\u7136\u540e\u7528\u6bcf\u4e2a\u533a\u57df\u7684\u6700\u5927\u503c\u4f5c\u4e3a\u8f93\u51fa\u3002CNN\u7684\u6700\u540e\u4e00\u4e2a\u7ed3\u6784\u662fReLU\u6fc0\u6d3b\u51fd\u6570\u5c42\uff0c\u65e2\u53ef\u4ee5\u7f29\u77ed\u8bad\u7ec3\u65f6\u95f4\uff0c\u4e5f\u80fd\u907f\u514d\u5f71\u54cd\u7f51\u7edc\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n CNN\u548cDNN\u7684\u4e3b\u8981\u533a\u522b\u5728\u4e8eCNN\u5177\u6709\u5c40\u90e8\u76f8\u8fde\u3001\u6743\u503c\u5171\u4eab\u7684\u7279\u6027\uff0c\u56e0\u6b64\u5728\u89c6\u89c9\u4efb\u52a1\u4e2d\u5177\u6709\u72ec\u7279\u7684\u4f18\u8d8a\u6027\uff0c\u5e76\u4e14\u964d\u4f4e\u4e86\u7f51\u7edc\u7684\u590d\u6742\u6027\u3002<\/p>\n 2)\u5faa\u73af\u795e\u7ecf\u7f51\u7edc(Recurrent Neural Networks\uff0cRNN)<\/strong><\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 RNN\u4e3b\u8981\u9002\u7528\u4e8e\u8f93\u5165\u4e3a\u5e8f\u5217(\u4f8b\u5982\u8bed\u97f3\u548c\u6587\u672c)\u6216\u65f6\u95f4\u5e8f\u5217\u7684\u6570\u636e(\u4f20\u611f\u5668\u6570\u636e)\u3002RNN\u7684\u8f93\u5165\u65e2\u5305\u62ec\u5f53\u524d\u6837\u4f8b\uff0c\u4e5f\u5305\u62ec\u4e4b\u524d\u89c2\u5bdf\u7684\u6837\u4f8b\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u65f6\u95f4\u4e3at-1\u65f6RNN\u7684\u8f93\u51fa\u4f1a\u5f71\u54cd\u65f6\u95f4\u4e3at\u7684\u8f93\u51fa\u3002RNN\u7684\u6bcf\u4e2a\u795e\u7ecf\u5143\u90fd\u6709\u4e00\u4e2a\u53cd\u9988\u73af\uff0c\u5c06\u5f53\u524d\u7684\u8f93\u51fa\u4f5c\u4e3a\u4e0b\u4e00\u6b65\u7684\u8f93\u5165\u3002\u8be5\u7ed3\u6784\u53ef\u4ee5\u89e3\u91ca\u4e3aRNN\u7684\u6bcf\u4e2a\u795e\u7ecf\u5143\u90fd\u6709\u4e00\u4e2a\u5185\u90e8\u5b58\u50a8\uff0c\u4fdd\u7559\u4e86\u7528\u4e4b\u524d\u8f93\u5165\u8fdb\u884c\u8ba1\u7b97\u5f97\u5230\u7684\u4fe1\u606f\u3002<\/p>\n 3)\u957f\u77ed\u65f6\u8bb0\u5fc6(Long Short Term Memory\uff0cLSTM)<\/strong><\/p>\n LSTM\u8bb0\u5fc6\u5355\u5143\u7ed3\u6784<\/strong><\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 LSTM\u662fRNN\u7684\u4e00\u79cd\u6269\u5c55\u3002LSTM\u4e2d\uff0c\u6bcf\u4e2a\u795e\u7ecf\u5143\u9664\u4e86\u6709\u53cd\u9988\u73af\u8fd9\u4e00\u50a8\u5b58\u4fe1\u606f\u7684\u673a\u5236\uff0c\u8fd8\u6709\u7528\u4e8e\u63a7\u5236\u795e\u7ecf\u5143\u4fe1\u606f\u901a\u8fc7\u7684\u201c\u9057\u5fd8\u95e8\u201d\u3001\u201c\u8f93\u5165\u5c42\u95e8\u201d\u53ca\u201c\u8f93\u51fa\u5c42\u95e8\u201d\uff0c\u9632\u6b62\u4e0d\u76f8\u5173\u7684\u4fe1\u606f\u9020\u6210\u7684\u6270\u52a8\u3002<\/p>\n 4)\u81ea\u52a8\u7f16\u7801\u5668(Autoencoders\uff0cAE)<\/strong><\/p>\n \u81ea\u7f16\u7801\u5668\u7f51\u7edc\u7ed3\u6784<\/strong><\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 AE\u7684\u8f93\u5165\u5c42\u548c\u8f93\u51fa\u5c42\u7531\u4e00\u4e2a\u6216\u591a\u4e2a\u9690\u5c42\u76f8\u8fde\u63a5\uff0c\u5176\u8f93\u5165\u548c\u8f93\u51fa\u795e\u7ecf\u5143\u6570\u91cf\u76f8\u540c\u3002\u8be5\u7f51\u7edc\u7684\u76ee\u6807\u662f\u901a\u8fc7\u7528\u6700\u7b80\u5355\u7684\u65b9\u5f0f\u5c06\u8f93\u5165\u53d8\u6362\u5230\u8f93\u51fa\uff0c\u4ee5\u91cd\u5efa\u8f93\u5165\u4fe1\u606f\u3002<\/p>\n 5)\u53d8\u5206\u81ea\u52a8\u7f16\u7801\u5668(Variational Autoencoders\uff0cVAE)<\/strong><\/p>\n \u53d8\u5206\u81ea\u52a8\u7f16\u7801\u5668\u7ed3\u6784<\/strong><\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 VAE\u5bf9\u6570\u636e\u7ed3\u6784\u7684\u5047\u8bbe\u5e76\u4e0d\u5f3a\uff0c\u662f\u8f83\u4e3a\u6d41\u884c\u7684\u751f\u6210\u6a21\u578b\u6846\u67b6\u3002\u5b83\u5f88\u9002\u7528\u4e8eIoT\u89e3\u51b3\u65b9\u6848\uff0c\u56e0\u4e3aIoT\u6570\u636e\u5448\u73b0\u7684\u591a\u6837\u6027\uff0c\u4ee5\u53ca\u6807\u8bb0\u6570\u636e\u7684\u7f3a\u5931\u3002\u6a21\u578b\u7531\u4e24\u4e2a\u5b50\u7f51\u7edc\u7ec4\u6210\uff1a\u4e00\u4e2a\u751f\u6210\u6837\u4f8b\uff0c\u4e00\u4e2a\u8fdb\u884c\u5047\u8bbe\u63a8\u7406\u3002<\/p>\n 6)\u751f\u6210\u5bf9\u6297\u7f51\u7edc(Generative Adversarial Networks\uff0cGAN)<\/strong><\/p>\n \u751f\u6210\u5bf9\u6297\u7f51\u7edc\u6982\u5ff5\u56fe<\/strong><\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 GAN\u7531\u4e24\u4e2a\u795e\u7ecf\u7f51\u7edc\u7ec4\u6210\uff0c\u4e00\u4e2a\u751f\u6210\u7f51\u7edc\uff0c\u4e00\u4e2a\u5224\u522b\u7f51\u7edc\uff0c\u5171\u540c\u5de5\u4f5c\u6765\u4ea7\u751f\u5408\u6210\u7684\u3001\u9ad8\u8d28\u91cf\u6570\u636e\u3002\u751f\u6210\u5668\u6839\u636e\u6570\u636e\u5728\u8bad\u7ec3\u6570\u636e\u96c6\u4e2d\u7684\u5206\u5e03\u751f\u6210\u65b0\u6570\u636e\uff0c\u5224\u522b\u5668\u5b66\u4e60\u5224\u522b\u771f\u5b9e\u6570\u636e\u548c\u751f\u6210\u5668\u751f\u6210\u7684\u5047\u6570\u636e\u3002GAN\u7684\u76ee\u6807\u51fd\u6570\u662f\u57fa\u4e8e\u6781\u5927\u6781\u5c0f\u535a\u5f08\u7684\uff0c\u4e00\u4e2a\u7f51\u7edc\u8981\u6700\u5927\u5316\u76ee\u6807\u51fd\u6570\uff0c\u800c\u53e6\u4e00\u4e2a\u8981\u6700\u5c0f\u5316\u76ee\u6807\u51fd\u6570\u3002<\/p>\n 7)\u53d7\u9650\u73bb\u5c14\u5179\u66fc\u673a(Restricted Boltzmann Machine\uff0cRBM)<\/strong><\/p>\n \u53d7\u9650\u73bb\u5c14\u5179\u66fc\u673a\u7ed3\u6784<\/strong><\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 RBM\u662f\u4e00\u79cd\u968f\u673a\u795e\u7ecf\u7f51\u7edc\uff0c\u7531\u4e24\u5c42\u7ec4\u6210\uff0c\u4e00\u5c42\u662f\u5305\u542b\u8f93\u5165\u7684\u53ef\u89c1\u5c42\uff0c\u4e00\u5c42\u662f\u542b\u6709\u9690\u53d8\u91cf\u7684\u9690\u85cf\u5c42\u3002RBM\u4e2d\u7684\u9650\u5236\u662f\u6307\u540c\u4e00\u5c42\u7684\u4efb\u610f\u4e24\u4e2a\u795e\u7ecf\u5143\u4e92\u4e0d\u76f8\u8fde\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u504f\u7f6e\u5355\u5143\u4e0e\u6240\u6709\u7684\u53ef\u89c1\u5c42\u548c\u9690\u85cf\u5c42\u5355\u5143\u90fd\u76f8\u8fde\u3002<\/p>\n 8)\u6df1\u5ea6\u4fe1\u5ff5\u7f51\u7edc(Deep Belief Network\uff0cDBN)<\/strong><\/p>\n \u6df1\u5ea6\u4fe1\u5ff5\u7f51\u7edc\u7ed3\u6784\u56fe<\/strong><\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 \u865a\u7ebf\u8868\u793a\u7279\u5f81\u63d0\u53d6\u901a\u9053\uff0c\u5b9e\u73b0\u8868\u793a\u751f\u6210\u901a\u9053\u3002DBN\u662f\u4e00\u79cd\u751f\u6210\u795e\u7ecf\u7f51\u7edc\uff0c\u7531\u4e00\u4e2a\u53ef\u89c1\u5c42\u53ef\u51e0\u4e2a\u9690\u5c42\u7ec4\u6210\u3002\u53ef\u4ee5\u63d0\u53d6\u8bad\u7ec3\u6570\u636e\u7684\u591a\u5c42\u8868\u793a\uff0c\u5e76\u4e14\u5bf9\u8f93\u5165\u6570\u636e\u8fdb\u884c\u91cd\u6784\u3002DBN\u7684\u8bad\u7ec3\u8fc7\u7a0b\u662f\u9010\u5c42\u8bad\u7ec3\uff0c\u5c06\u6bcf\u4e00\u5c42\u89c6\u4f5c\u4e00\u4e2aRBM\uff0c\u5728\u524d\u4e00\u5c42\u7684\u57fa\u7840\u4e0a\u8fdb\u884c\u8bad\u7ec3\u3002\u8fd9\u6837\u7684\u673a\u5236\u4f7fDBN\u6210\u4e3a\u6df1\u5ea6\u5b66\u4e60\u4e2d\u6709\u6548\u4e14\u5feb\u901f\u7684\u7f51\u7edc\u4e4b\u4e00\u3002<\/p>\n 9)\u9636\u68af\u7f51\u7edc(Ladder Network)<\/strong><\/p>\n \u4e24\u5c42\u9636\u68af\u7f51\u7edc<\/strong><\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 \u9636\u68af\u7f51\u7edc\u5728\u65e0\u76d1\u7763\u548c\u534a\u76d1\u7763\u5b66\u4e60\u4efb\u52a1\u4e2d\u8fbe\u5230\u4e86\u5148\u8fdb\u7684\u6c34\u5e73\u3002\u9636\u68af\u7f51\u7edc\u7531\u4e24\u4e2a\u7f16\u7801\u5668\u548c\u4e00\u4e2a\u89e3\u7801\u5668\u7ec4\u6210\u3002\u7f16\u7801\u5668\u4f5c\u4e3a\u7f51\u7edc\u7684\u6709\u76d1\u7763\u90e8\u5206\uff0c\u89e3\u7801\u5668\u8fdb\u884c\u65e0\u76d1\u7763\u5b66\u4e60\u3002\u8bad\u7ec3\u76ee\u6807\u662f\u6700\u5c0f\u5316\u6709\u76d1\u7763\u90e8\u5206\u548c\u65e0\u76d1\u7763\u7f51\u7edc\u7684\u635f\u5931\u548c\u3002<\/p>\n \u5feb\u901f\u5b9e\u65f6\u6df1\u5ea6\u5b66\u4e60\u7ed3\u6784<\/strong><\/p><\/blockquote>\n \u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5bf9\u6570\u636e\u6d41\u8fdb\u884c\u5feb\u901f\u5b9e\u65f6\u7684\u5904\u7406\u4ecd\u5728\u8d77\u6b65\u9636\u6bb5\u3002<\/p>\n \u65e9\u671f\u5de5\u4f5c\uff1a<\/p>\n \u30101\u3011\u662f\u5bf9\u8d85\u9650\u5b66\u4e60\u673a\uff08Extreme learning machine\uff0cELM\uff09\u7684\u6269\u5c55\u2014\u2014OS-ELM\uff0c\u5c06\u4e00\u4e2a\u5b9e\u65f6\u5e8f\u5217\u5b66\u4e60\u7b97\u6cd5\u5e94\u7528\u5230\u5355\u9690\u5c42\u7684\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u3002<\/p>\n \u30102\u3011Ren\u7b49\u4eba\u63d0\u51fa\u7684Faster-RCNN\u5728\u56fe\u7247\u4e2d\u7684\u76ee\u6807\u68c0\u6d4b\u4e2d\u8fbe\u5230\u4e86\u63a5\u8fd1\u5b9e\u65f6\u7684\u901f\u5ea6\u3002\u4ed6\u4eec\u7684\u76ee\u6807\u68c0\u6d4b\u6846\u67b6\u7684\u8fd0\u884c\u65f6\u95f4\u4e3a5-17fps\u3002\u7136\u800c\u5bf9\u4e8e\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0c\u771f\u6b63\u7684\u5b9e\u65f6\u6548\u679c\u9700\u8981\u7cfb\u7edf\u7684\u5904\u7406\u548c\u5206\u6790\u65f6\u95f4\u8fbe\u523030fps\u6216\u66f4\u9ad8\u3002<\/p>\n \u30103\u3011Redmon\u7b49\u4eba\u63d0\u51fa\u4e86YOLO\uff0c\u5c06\u76ee\u6807\u68c0\u6d4b\u7684\u901f\u5ea6\u63d0\u9ad8\u523045fps\uff0c\u4ee5\u53ca\u66f4\u5c0f\u7248\u672c\u7684YOLO\uff0c\u901f\u5ea6\u66f4\u662f\u8fbe\u5230\u4e86155fps\uff0c\u5df2\u7ecf\u9002\u7528\u4e8e\u667a\u80fd\u76f8\u673a\u3002<\/p>\n \u6df1\u5ea6\u5b66\u4e60\u4e0e\u5176\u4ed6\u65b9\u6cd5\u7ed3\u5408<\/strong><\/p><\/blockquote>\n 1\uff09\u6df1\u5ea6\u589e\u5f3a\u5b66\u4e60\uff08Deep Reinforcement Learning\uff09<\/strong><\/p>\n \u6df1\u5ea6\u589e\u5f3a\u5b66\u4e60\u662f\u5c06\u589e\u5f3a\u5b66\u4e60\u548c\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u76f8\u7ed3\u5408\u7684\u4ea7\u7269\u3002\u5176\u76ee\u6807\u662f\u521b\u5efa\u80fd\u81ea\u4e3b\u5b66\u4e60\u7684\u4e2a\u4f53\uff08agent\uff09\uff0c\u901a\u8fc7\u5efa\u7acb\u6210\u529f\u7684\u4ea4\u4e92\u8fc7\u7a0b\u4ee5\u83b7\u5f97\u957f\u671f\u7684\u6700\u5927\u6b63\u53cd\u9988\uff08reward\uff09\u3002<\/p>\n \u5f53\u73af\u5883\uff08environment\uff09\u53ef\u7531\u5927\u91cf\u72b6\u6001\u8868\u793a\u65f6\uff0c\u4f20\u7edf\u7684\u589e\u5f3a\u5b66\u4e60\u65b9\u6cd5\u7a0d\u663e\u4e0d\u8db3\uff0c\u800c\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5219\u5f25\u8865\u4e86\u8fd9\u4e00\u70b9\u3002\u5728IoT\u9886\u57df\uff0c\u30104\u3011\u4f7f\u7528\u6df1\u5ea6\u589e\u5f3a\u5b66\u4e60\u5b9e\u73b0\u4e86\u534a\u76d1\u7763\u6761\u4ef6\u4e0b\u667a\u80fd\u6821\u56ed\u73af\u5883\u4e2d\u7684\u5b9a\u4f4d\u3002<\/p>\n 2\uff09\u8fc1\u79fb\u5b66\u4e60\u4e0e\u6df1\u5ea6\u6a21\u578b\uff08Transfer Learning with Deep Models\uff09<\/strong><\/p>\n \u8fc1\u79fb\u5b66\u4e60\u4e3b\u8981\u5e94\u7528\u5728\u57df\u9002\u5e94\u548c\u591a\u4efb\u52a1\u5b66\u4e60\u7684\u9886\u57df\u3002\u8fc1\u79fb\u5b66\u4e60\u5bf9\u4e8e\u8bb8\u591a\u96be\u4ee5\u6536\u96c6\u8bad\u7ec3\u6570\u636e\u7684IoT\u5e94\u7528\u6765\u8bf4\u90fd\u662f\u4e00\u4e2a\u53ef\u7528\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n \u4f8b\u5982\u8bad\u7ec3\u4e00\u4e2a\u901a\u8fc7\u667a\u80fd\u624b\u673a\u7684\u4f4e\u529f\u8017\u84dd\u7259\u548cWifi fingerpringting\u7684\u5b9a\u4f4d\u7cfb\u7edf\uff0c\u540c\u4e00\u65f6\u95f4\uff0c\u5728\u540c\u4e00\u5730\u70b9\u7684RSSI\u503c\uff08Received Signal Strength Indication\u63a5\u6536\u7684\u4fe1\u53f7\u5f3a\u5ea6\u6307\u793a\uff09\u5bf9\u4e8e\u4e0d\u540c\u7684\u5e73\u53f0\u6765\u8bf4\u53ef\u80fd\u4e0d\u540c\u3002<\/p>\n \u5982\u679c\u6211\u4eec\u5bf9\u4e00\u4e2a\u5e73\u53f0\u8bad\u7ec3\u4e86\u4e00\u4e2a\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u53ef\u4ee5\u8fc1\u79fb\u5230\u5176\u4ed6\u5e73\u53f0\uff0c\u800c\u4e0d\u9700\u8981\u5bf9\u65b0\u5e73\u53f0\u518d\u6536\u96c6\u8bad\u7ec3\u6570\u636e\u3002<\/p>\n 3\uff09\u6df1\u5ea6\u5b66\u4e60\u4e0e\u5728\u7ebf\u5b66\u4e60\u7b97\u6cd5<\/strong><\/p>\n \u7531\u4e8eIoT\u7684\u5e94\u7528\u4ea7\u751f\u7684\u6570\u636e\u6d41\u4f1a\u4e0a\u4f20\u5230\u4e91\u5e73\u53f0\u6765\u5206\u6790\uff0c\u5728\u7ebf\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u89d2\u8272\u53d8\u5f97\u8d8a\u6765\u8d8a\u91cd\u8981\uff0c\u56e0\u4e3a\u8bad\u7ec3\u6a21\u578b\u9700\u8981\u968f\u6570\u636e\u7684\u589e\u52a0\u800c\u66f4\u65b0\u3002<\/p>\n \u6846\u67b6<\/strong><\/p><\/blockquote>\n \u8fd1\u51e0\u5e74\uff0c\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u5728\u5404\u4e2a\u9886\u57df\u7684\u5e94\u7528\u70ed\u6f6e\uff0c\u5404\u79cd\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u4e5f\u5e94\u8fd0\u800c\u751f\u3002<\/p>\n Tensorflow\uff1a Tensorflow\u662f\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u7684\u5f00\u6e90\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u3002<\/p>\n Tensorflow\u4f7f\u7528\u56fe\u8868\u793a\u6765\u5efa\u7acb\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002\u5f00\u53d1\u4eba\u5458\u4e5f\u5728\u4f7f\u7528TensorBoard\uff0c\u80fd\u53ef\u89c6\u5316\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u5e76\u4e14\u89c2\u6d4b\u5b66\u4e60\u8fc7\u7a0b\uff0c\u5305\u62ec\u53c2\u6570\u66f4\u65b0\u3002<\/p>\n Torch\uff1a Torch\u662f\u4e00\u4e2a\u673a\u5668\u5b66\u4e60\u5f00\u6e90\u6846\u67b6\uff0c\u5305\u542b\u5927\u91cf\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff0c\u53ef\u7528\u4e8e\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u7b80\u5355\u5f00\u53d1\u3002\u5b83\u57fa\u4e8eLua\u8bed\u8a00\u5f00\u53d1\uff0c\u662f\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u7684\u8f7b\u91cf\u7ea7\u5feb\u901f\u6846\u67b6\u3002\u652f\u6301\u5728CPU\u548cGPU\u4e0a\u5f00\u53d1\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u5e76\u4e14\u63d0\u4f9b\u4e86\u8bad\u7ec3\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u5e76\u884c\u8ba1\u7b97\u5e93\u3002<\/p>\n Caffe\uff1a Caffe\u662f\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u548c\u53c2\u8003\u6a21\u578b\u96c6\u7684\u5f00\u6e90\u6846\u67b6\u3002\u57fa\u4e8eC++\uff0c\u652f\u6301CUDA\u8fdb\u884cGPU\u8fd0\u7b97\uff0c\u5e76\u4e14\u63d0\u4f9bPython\u548cMatlab\u63a5\u53e3\u3002Caffe\u901a\u8fc7\u914d\u7f6e\u6587\u4ef6\u5b9a\u4e49\u6a21\u578b\uff0c\u800c\u4e0d\u9700\u8981\u5728\u6e90\u4ee3\u7801\u4e2d\u5b9a\u4e49\u53c2\u6570\uff0c\u5c06\u6a21\u578b\u8868\u793a\u548c\u5b9e\u73b0\u5206\u5f00\u3002<\/p>\n \u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u5bf9\u6bd4<\/strong><\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 \u6df1\u5ea6\u5b66\u4e60\u5728IoT\u9886\u57df\u7684\u5e94\u7528<\/strong><\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 IoT\u5e94\u7528\u548c\u57fa\u7840\u670d\u52a1\uff1a<\/strong><\/p>\n \u57fa\u7840\u670d\u52a1<\/strong><\/p><\/blockquote>\n \u00a0 \u00a0 \u00a0 \u00a0 1\uff09\u56fe\u50cf\u8bc6\u522b<\/strong><\/p>\n 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Yuan\u7b49\u4eba\u30107\u3011\u63d0\u51fa\u7528\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u6765\u9274\u522b\u5b89\u5353\u5e94\u7528\u4e2d\u7684\u6076\u610f\u8f6f\u4ef6\uff0c\u51c6\u786e\u7387\u8fbe\u5230\u4e8696.5%\u3002\u6df1\u5ea6\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u7684\u5b89\u5168\u6027\u548c\u9690\u79c1\u4fdd\u62a4\u662f\u80fd\u5426\u5728IoT\u9886\u57df\u5e94\u7528\u7684\u6700\u91cd\u8981\u56e0\u7d20\u3002<\/p>\n Shokri\u7b49\u4eba\u30108\u3011\u63d0\u51fa\u4e86\u4e00\u79cd\u89e3\u51b3\u5206\u5e03\u5f0f\u5b66\u4e60\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u9690\u79c1\u4fdd\u62a4\u95ee\u9898\u7684\u65b9\u6cd5\u3002<\/p>\n \u5e94\u7528<\/strong><\/p><\/blockquote>\n \u00a0 \u00a0 \u00a0 \u00a0 1\uff09\u667a\u80fd\u5bb6\u5c45\uff1a<\/strong><\/p>\n 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\u00a0 \u00a0 \u00a0 \u00a0 3\uff09\u80fd\u6e90\uff1a<\/strong><\/p>\n \u6d88\u8d39\u8005\u4e0e\u667a\u80fd\u7535\u7f51\u4e4b\u95f4\u7684\u53cc\u5411\u901a\u4fe1\u662fIoT\u5927\u6570\u636e\u7684\u6765\u6e90\u3002\u80fd\u6e90\u4f9b\u5e94\u5546\u5e0c\u671b\u5b66\u4e60\u5f53\u5730\u7684\u80fd\u6e90\u6d88\u8d39\u6a21\u5f0f\u3001\u9884\u6d4b\u9700\u6c42\uff0c\u5e76\u6839\u636e\u5b9e\u65f6\u5206\u6790\u505a\u51fa\u9002\u5f53\u7684\u51b3\u5b9a\u3002\u5728\u667a\u80fd\u7535\u7f51\u65b9\u9762\uff0c\u4ece\u592a\u9633\u80fd\u3001\u98ce\u80fd\u6216\u5176\u4ed6\u7c7b\u578b\u7684\u81ea\u7136\u53ef\u6301\u7eed\u80fd\u6e90\u4e2d\u9884\u6d4b\u7535\u529b\u662f\u4e00\u4e2a\u6d3b\u8dc3\u7684\u7814\u7a76\u9886\u57df\uff0c\u6df1\u5ea6\u5b66\u4e60\u5728\u8fd9\u4e00\u9886\u57df\u7684\u8bb8\u591a\u5e94\u7528\u4e2d\u8d8a\u6765\u8d8a\u591a\u5730\u88ab\u4f7f\u7528\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 4\uff09\u667a\u80fd\u4ea4\u901a\u7cfb\u7edf\uff1a<\/strong><\/p>\n 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\u00a0 \u00a0 \u00a0 \u00a0 5\uff09\u533b\u7597\u548c\u5065\u5eb7\uff1a<\/strong><\/p>\n IoT\u7ed3\u5408\u6df1\u5ea6\u5b66\u4e60\u4e5f\u5728\u4e3a\u4e2a\u4eba\u548c\u7ec4\u7ec7\u63d0\u4f9b\u533b\u7597\u548c\u5065\u5eb7\u65b9\u6848\u4e2d\u5f97\u5230\u5e94\u7528\u3002\u4f8b\u5982\uff0c\u5f00\u53d1\u57fa\u4e8e\u79fb\u52a8\u5e94\u7528\u7a0b\u5e8f\u7684\u7cbe\u786e\u6d4b\u91cf\u996e\u98df\u6444\u5165\u91cf\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u53ef\u4ee5\u5e2e\u52a9\u63d0\u5347\u4e2a\u4eba\u5065\u5eb7\u548c\u5e78\u798f\u611f\u3002Liu\u7b49\u4eba\u301013\u3011\u91c7\u7528CNN\u5f00\u53d1\u4e86\u8bc6\u522b\u98df\u7269\u56fe\u7247\u548c\u76f8\u5173\u4fe1\u606f\u7684\u7cfb\u7edf\u3002\u7528\u6df1\u5ea6\u5b66\u4e60\u5bf9\u533b\u5b66\u56fe\u7247\u8fdb\u884c\u5206\u7c7b\u548c\u5206\u6790\u662f\u533b\u7597\u9886\u57df\u7684\u7814\u7a76\u70ed\u70b9\u3002Pereira\u7b49\u4eba\u301014\u3011\u901a\u8fc7CNN\u8bc6\u522b\u624b\u5199\u56fe\u7247\u6765\u9274\u5b9a\u65e9\u671f\u5e15\u91d1\u68ee\u75c7\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u6df1\u5ea6\u5b66\u4e60\u4e0eIoT\u7684\u7ed3\u5408\u5728\u58f0\u97f3\u5f02\u5e38\u68c0\u6d4b\u3001\u4e73\u817a\u8840\u7ba1\u75be\u75c5\u68c0\u6d4b\u4e2d\u4e5f\u5f97\u5230\u4e86\u5e94\u7528<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 6\uff09\u519c\u4e1a\uff1a<\/strong><\/p>\n \u751f\u4ea7\u5065\u5eb7\u4f5c\u7269\u548c\u53d1\u5c55\u6709\u6548\u7684\u79cd\u690d\u65b9\u5f0f\u662f\u5065\u5eb7\u793e\u4f1a\u548c\u53ef\u6301\u7eed\u73af\u5883\u7684\u8981\u6c42\u3002\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u690d\u7269\u75c5\u5bb3\u8bc6\u522b\u662f\u4e00\u4e2a\u53ef\u884c\u7684\u89e3\u51b3\u65b9\u6848\u3002\u6df1\u5ea6\u5b66\u4e60\u4e5f\u88ab\u7528\u4e8e\u9065\u611f\uff0c\u8fdb\u884c\u571f\u5730\u548c\u4f5c\u7269\u7684\u68c0\u6d4b\u4e0e\u5206\u7c7b\u3002\u7814\u7a76\u663e\u793a\uff0c\u4f7f\u7528CNN\u8fdb\u884c\u4f5c\u7269\u8bc6\u522b\u51c6\u786e\u7387\u8fbe\u5230\u4e8685%\uff0c\u76f8\u6bd4\u4e8eMLP\u6216\u968f\u673a\u68ee\u6797\u6709\u5f88\u5927\u63d0\u9ad8\u3002\u81ea\u52a8\u8015\u4f5c\u4e2d\u7684\u9884\u6d4b\u548c\u68c0\u6d4b\u4efb\u52a1\u4e5f\u5e94\u7528\u4e86\u6df1\u5ea6\u5b66\u4e60\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 7\uff09\u6559\u80b2\uff1a<\/strong><\/p>\n IoT\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u7ed3\u5408\u6709\u52a9\u4e8e\u63d0\u9ad8\u6559\u80b2\u7cfb\u7edf\u7684\u6548\u7387\u3002\u79fb\u52a8\u8bbe\u5907\u53ef\u4ee5\u6536\u96c6\u5b66\u751f\u7684\u6570\u636e\uff0c\u6df1\u5ea6\u5206\u6790\u65b9\u6cd5\u53ef\u4ee5\u7528\u6765\u9884\u6d4b\u548c\u89e3\u91ca\u5b66\u751f\u7684\u8fdb\u6b65\u548c\u6210\u5c31\u3002\u589e\u5f3a\u73b0\u5b9e\u6280\u672f\u7ed3\u5408\u53ef\u7a7f\u6234\u8bbe\u5907\u548c\u79fb\u52a8\u8bbe\u5907\u4e5f\u662f\u6df1\u5ea6\u5b66\u4e60\u5728\u8fd9\u4e00\u9886\u57df\u7684\u6f5c\u5728\u5e94\u7528\uff0c\u6fc0\u53d1\u5b66\u751f\u7684\u5174\u8da3\uff0c\u8ba9\u6559\u80b2\u5b66\u4e60\u65b9\u6cd5\u66f4\u6709\u6548\u3002\u6b64\u5916\uff0c\u6df1\u5ea6\u5b66\u4e60\u53ef\u4ee5\u7528\u4e8e\u4e2a\u6027\u5316\u63a8\u8350\u6a21\u5757\uff0c\u5411\u6559\u80b2\u8005\u63a8\u8350\u66f4\u591a\u76f8\u5173\u5185\u5bb9\u3002\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u5bf9\u5927\u578b\u5f00\u653e\u5f0f\u7f51\u7edc\u8bfe\u7a0b\u6570\u636e\uff08MOOC\uff09\u8fdb\u884c\u5206\u6790\uff0c\u53ef\u4ee5\u5e2e\u52a9\u5b66\u751f\u66f4\u597d\u7684\u5b66\u4e60\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u5229\u7528CNN\u76d1\u6d4b\u6559\u5ba4\u5360\u7528\u7387\u662f\u6df1\u5ea6\u5b66\u4e60\u5728\u6559\u80b2\u65b9\u9762\u7684\u53e6\u4e00\u4e2a\u5e94\u7528\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 8\uff09\u5de5\u4e1a\uff1a<\/strong><\/p>\n \u5bf9\u4e8e\u5de5\u4e1a\u90e8\u95e8\u6765\u8bf4\uff0cIoT\u548c\u7f51\u7edc\u7269\u7406\u7cfb\u7edf\uff08CPS\uff09\u662f\u63a8\u52a8\u5236\u9020\u6280\u672f\u8fc8\u5411\u667a\u80fd\u5236\u9020\uff08\u5de5\u4e1a4.0\uff09\u7684\u6838\u5fc3\u8981\u7d20\u3002\u5de5\u4e1a\u4e2d\u7684\u5e7f\u6cdb\u5e94\u7528\u5747\u53ef\u4ee5\u53d7\u76ca\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u5f15\u5165\u3002\u901a\u8fc7\u5c06\u88c5\u914d\u7ebf\u4e2d\u751f\u4ea7\u8f66\u8f86\u7684\u56fe\u50cf\u53ca\u5176\u6ce8\u91ca\u90fd\u8f93\u5165\u6df1\u5ea6\u5b66\u4e60\u7cfb\u7edf\uff0c\u53ef\u4ee5\u5229\u7528AlexNet\u3001GoogLeNet\u7b49\u7f51\u7edc\u5b9e\u73b0\u89c6\u89c9\u68c0\u6d4b\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 9\uff09\u653f\u5e9c\uff1a<\/strong><\/p>\n 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\u9664\u4e86\u5728\u4e91\u5e73\u53f0\u4e0a\u6258\u7ba1\u53ef\u6269\u5c55\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u57fa\u7840\u8bbe\u65bd\u7684\u8fdb\u6b65\uff0c\u8fd8\u9700\u8981\u7814\u7a76\u4f7f\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u901a\u8fc7API\u8bbf\u95ee\u7684\u673a\u5236\u548c\u65b9\u6cd5\uff0c\u4ee5\u4fbf\u5bb9\u6613\u5730\u96c6\u6210\u5230IoT\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002<\/p>\n \u5728\u4e91\u5e73\u53f0\u4e2d\u4f5c\u4e3a\u670d\u52a1\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<\/strong><\/p>\n \u6311\u6218<\/strong><\/p><\/blockquote>\n \u5728\u96fe\u8ba1\u7b97\u8282\u70b9\u4e0a\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u5206\u6790\u65f6\uff0c\u4e5f\u4f1a\u9762\u4e34\u4e00\u4e9b\u6311\u6218\uff1a<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 \u6df1\u5ea6\u5b66\u4e60\u670d\u52a1\u53d1\u73b0\uff1a<\/strong>\u8bbe\u5907\u9700\u8981\u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\u5206\u6790\u7684\u67d0\u79cd\u6269\u5c55\u670d\u52a1\u53d1\u73b0\u534f\u8bae\uff0c\u6765\u8bc6\u522b\u9002\u5f53\u7684\u5206\u6790\u63d0\u4f9b\u8005\u7684\u6765\u6e90\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 \u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u548c\u4efb\u52a1\u5206\u5e03\uff1a<\/strong>\u5728\u96fe\u8282\u70b9\u4e4b\u95f4\u5212\u5206\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u548c\u4efb\u52a1\u7684\u6267\u884c\uff0c\u4ee5\u53ca\u5728\u53ef\u7528\u8282\u70b9\u4e4b\u95f4\u4f18\u5316\u6570\u636e\u6d41\u5206\u914d\uff0c\u5bf9\u4e8e\u65f6\u95f4\u654f\u611f\u7684\u5e94\u7528\u7a0b\u5e8f\u662f\u81f3\u5173\u91cd\u8981\u7684\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 \u8bbe\u8ba1\u56e0\u7d20\uff1a<\/strong>\u7814\u7a76\u5982\u4f55\u96fe\u8ba1\u7b97\u73af\u5883\u7684\u8bbe\u8ba1\u56e0\u7d20\uff0c\u4ee5\u53ca\u5728\u8fd9\u79cd\u73af\u5883\u4e2d\u90e8\u7f72\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5982\u4f55\u5f71\u54cd\u5206\u6790\u670d\u52a1\u7684\u8d28\u91cf\u662f\u5f88\u6709\u5fc5\u8981\u7684\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 \u79fb\u52a8\u7aef\uff1a<\/strong>\u5728\u8bbe\u8ba1\u7ec8\u7aef\u8f85\u52a9\u7684\u6df1\u5ea6\u5b66\u4e60\u5206\u6790\u7cfb\u7edf\u65f6\uff0c\u9700\u8981\u8003\u8651\u79fb\u52a8\u7aef\u8ba1\u7b97\u73af\u5883\u7684\u52a8\u6001\u6027\uff0c\u56e0\u4e3a\u79fb\u52a8\u8bbe\u5907\u53ef\u80fd\u4f1a\u52a0\u5165\u6216\u79bb\u5f00\u7cfb\u7edf\u3002<\/p>\n \u6df1\u5ea6\u5b66\u4e60\u5e26\u6765\u7684\u7269\u8054\u7f51\u6311\u6218\uff0c\u4ee5\u53ca\u672a\u6765\u7684\u7814\u7a76\u65b9\u5411<\/p>\n \u6311\u6218<\/strong><\/p><\/blockquote>\n \u00a0 \u00a0 \u00a0 \u00a0 1\uff09\u7f3a\u5c11\u5927\u578b\u7269\u8054\u7f51\u6570\u636e\u96c6\uff1a<\/strong><\/p>\n \u7f3a\u4e4f\u53ef\u7528\u7684\u5b9e\u9645IoT\u5e94\u7528\u5927\u6570\u636e\u96c6\u5c06\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5f15\u5165IoT\u7684\u4e00\u4e2a\u4e3b\u8981\u969c\u788d\uff0c\u56e0\u4e3a\u6df1\u5ea6\u5b66\u4e60\u9700\u8981\u66f4\u591a\u7684\u6570\u636e\u6765\u5b9e\u73b0\u66f4\u9ad8\u7684\u7cbe\u5ea6\u3002\u6b64\u5916\uff0c\u66f4\u591a\u7684\u6570\u636e\u4e5f\u53ef\u4ee5\u9632\u6b62\u6a21\u578b\u8fc7\u5ea6\u62df\u5408\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 2\uff09\u9884\u5904\u7406\uff1a<\/strong><\/p>\n \u8bb8\u591a\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\u4ee5\u4ea7\u751f\u66f4\u597d\u7684\u7ed3\u679c\uff0c\u5bf9\u4e8eIoT\u5e94\u7528\uff0c\u9884\u5904\u7406\u4f1a\u66f4\u590d\u6742\uff0c\u56e0\u4e3a\u7cfb\u7edf\u5904\u7406\u7684\u662f\u6765\u81ea\u4e0d\u540c\u6570\u636e\u6e90\u7684\u6570\u636e\uff0c\u53ef\u80fd\u6709\u591a\u79cd\u683c\u5f0f\u548c\u5206\u5e03\uff0c\u800c\u4e14\u8fd8\u53ef\u80fd\u6709\u6570\u636e\u4e22\u5931\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 3\uff09\u5b89\u5168\u548c\u9690\u79c1\uff1a<\/strong><\/p>\n \u786e\u4fdd\u6570\u636e\u5b89\u5168\u548c\u9690\u79c1\u662f\u8bb8\u591aIoT\u5e94\u7528\u7684\u4e00\u4e2a\u4e3b\u8981\u95ee\u9898\uff0c\u56e0\u4e3aIoT\u5927\u6570\u636e\u5c06\u901a\u8fc7\u4e92\u8054\u7f51\u8fdb\u884c\u5206\u6790\uff0c\u56e0\u6b64\u4e16\u754c\u5404\u5730\u90fd\u6709\u53ef\u80fd\u770b\u5f97\u5230\u3002\u6b64\u5916\uff0c\u6df1\u5ea6\u5b66\u4e60\u8bad\u7ec3\u6a21\u578b\u4e5f\u5bb9\u6613\u53d7\u5230\u6076\u610f\u653b\u51fb\uff0c\u5982\u865a\u5047\u6570\u636e\u6ce8\u5165\u6216\u5bf9\u6297\u6027\u6837\u672c\u8f93\u5165\uff0c\u5176\u4e2dIoT\u7cfb\u7edf\u7684\u8bb8\u591a\u529f\u80fd\u6216\u975e\u529f\u80fd\u6027\u8981\u6c42\u53ef\u80fd\u65e0\u6cd5\u5f97\u5230\u4fdd\u8bc1\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 4\uff09IoT\u5927\u6570\u636e\u201d6V\u201c\u7279\u6027\uff1a<\/strong><\/p>\n Volume\uff08\u6570\u636e\u91cf\uff09\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u65f6\u95f4\u6d88\u8017\u548c\u7ed3\u6784\u590d\u6742\u6027\u63d0\u51fa\u4e86\u5f88\u5927\u7684\u6311\u6218\u3002\u5e76\u4e14\u6570\u636e\u91cf\u5de8\u5927\u4e5f\u5e26\u6765\u4e86\u5305\u62ec\u566a\u58f0\u548c\u672a\u6807\u6ce8\u6570\u636e\u7684\u6311\u6218\u3002<\/p>\n Variety\uff08\u591a\u6837\u6027\uff09\u5e26\u6765\u4e86\u7ba1\u7406\u4e0d\u540c\u6570\u636e\u6e90\u4e4b\u95f4\u51b2\u7a81\u7684\u6311\u6218\u3002\u5728\u6570\u636e\u6e90\u6ca1\u6709\u51b2\u7a81\u7684\u60c5\u51b5\u4e0b\uff0c\u6df1\u5ea6\u5b66\u4e60\u80fd\u591f\u6709\u6548\u5904\u7406\u5f02\u8d28\u6570\u636e\u3002<\/p>\n Velocity\uff08\u901f\u7387\uff09\u5e26\u6765\u4e86\u9ad8\u901f\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u7684\u8981\u6c42\uff0c\u589e\u5f3a\u6df1\u5ea6\u5b66\u4e60\u7684\u5728\u7ebf\u5b66\u4e60\u548c\u5e8f\u5217\u5b66\u4e60\u7684\u6280\u672f\u4ecd\u9700\u8fdb\u4e00\u6b65\u7814\u7a76\u3002<\/p>\n Veracity\uff08\u53ef\u4fe1\u5ea6\uff09\uff0c\u5f53\u8f93\u5165\u6570\u636e\u4e0d\u662f\u6765\u81ea\u53ef\u4fe1\u7684\u6570\u636e\u6e90\u65f6\uff0cIoT\u7684\u5927\u6570\u636e\u5206\u6790\u5219\u662f\u65e0\u7528\u7684\u3002<\/p>\n Variability\uff08\u53ef\u53d8\u6027\uff09\uff0cIoT\u5927\u6570\u636e\u7684\u6d41\u901f\u53ef\u53d8\u6027\u5bf9\u5728\u7ebf\u5206\u6790\u63d0\u51fa\u4e86\u6311\u6218\u3002<\/p>\n Value\uff08\u4ef7\u503c\uff09\uff0c\u4f01\u4e1a\u7ecf\u7406\u91c7\u7528\u5927\u6570\u636e\u7684\u4e00\u4e2a\u4e3b\u8981\u6311\u6218\u662f\uff0c\u4ed6\u4eec\u4e0d\u6e05\u695a\u5982\u4f55\u4f7f\u7528\u5927\u6570\u636e\u5206\u6790\u6765\u83b7\u5f97\u4ef7\u503c\uff0c\u5e76\u6539\u5584\u4ed6\u4eec\u7684\u4e1a\u52a1\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 5\uff09IoT\u8bbe\u5907\u4e0a\u7684\u6df1\u5ea6\u5b66\u4e60\uff1a<\/strong><\/p>\n \u5728IoT\u8bbe\u5907\u4e0a\u5f00\u53d1\u6df1\u5ea6\u5b66\u4e60\u662f\u4e00\u4e2a\u65b0\u7684\u6311\u6218\uff0c\u8981\u8003\u8651\u5728\u8d44\u6e90\u53d7\u9650\u7684\u8bbe\u5907\u4e0a\u5904\u7406\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u9700\u6c42\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 6\uff09\u6df1\u5ea6\u5b66\u4e60\u5c40\u9650\uff1a<\/strong><\/p>\n \u5c3d\u7ba1\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5728\u8bb8\u591a\u5e94\u7528\u4e2d\u663e\u793a\u51fa\u4ee4\u4eba\u5370\u8c61\u6df1\u523b\u7684\u7ed3\u679c\uff0c\u5b83\u4ecd\u7136\u6709\u5c40\u9650\u6027\u3002\u7814\u7a76\u53d1\u73b0\uff0c\u6df1\u5ea6\u7f51\u7edc\u4f1a\u5c06\u65e0\u6cd5\u8bc6\u522b\u7684\u56fe\u7247\u5206\u7c7b\u5230\u719f\u6089\u7684\u79cd\u7c7b\u4e2d\u3002\u5e76\u4e14\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u56de\u5f52\u80fd\u529b\u6709\u5f85\u589e\u5f3a\u3002<\/p>\n \u672a\u6765\u7814\u7a76\u65b9\u5411<\/strong><\/p><\/blockquote>\n \u00a0 \u00a0 \u00a0 \u00a0 1\uff09IoT\u79fb\u52a8\u6570\u636e\uff1a<\/strong><\/p>\n IoT\u6570\u636e\u7684\u4e00\u5927\u90e8\u5206\u6765\u81ea\u79fb\u52a8\u8bbe\u5907\u3002\u7814\u7a76\u5229\u7528\u79fb\u52a8\u5927\u6570\u636e\u4e0e\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u76f8\u7ed3\u5408\u7684\u6709\u6548\u65b9\u5f0f\uff0c\u53ef\u4ee5\u4e3aIoT\u63d0\u4f9b\u66f4\u597d\u7684\u670d\u52a1\uff0c\u7279\u522b\u662f\u5728\u667a\u6167\u57ce\u5e02\u573a\u666f\u4e2d\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 2\uff09\u7ed3\u5408\u73af\u5883\u4fe1\u606f\uff1a<\/strong><\/p>\n \u5355\u9760IoT\u7684 \u4f20\u611f\u6570\u636e\u4e0d\u80fd\u7406\u89e3\u73af\u5883\u7684\u60c5\u51b5\u3002\u56e0\u6b64\uff0cIoT\u6570\u636e\u9700\u8981\u4e0e\u5176\u4ed6\u6570\u636e\u6e90\u878d\u5408\uff0c\u5373\u73af\u5883\u4fe1\u606f\uff0c\u4ee5\u8865\u5145\u5bf9\u73af\u5883\u7684\u7406\u89e3\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 3\uff09IoT\u5206\u6790\u7684\u5728\u7ebf\u8d44\u6e90\u4f9b\u5e94\uff1a<\/strong><\/p>\n \u57fa\u4e8e\u96fe\u548c\u4e91\u8ba1\u7b97\u7684\u6df1\u5ea6\u5b66\u4e60\u5feb\u901f\u6570\u636e\u5206\u6790\u90e8\u7f72\u9700\u8981\u5728\u7ebf\u914d\u7f6e\u96fe\u6216\u4e91\u8d44\u6e90\u6765\u627f\u8f7d\u6570\u636e\u6d41\u3002\u7531\u4e8eIoT\u6570\u636e\u7684\u6d41\u7279\u6027\uff0c\u65e0\u6cd5\u63d0\u524d\u77e5\u9053\u6570\u636e\u5e8f\u5217\u7684\u5bb9\u91cf\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u9700\u8981\u4e00\u79cd\u65b0\u7684\u57fa\u4e8e\u5f53\u524d\u6570\u636e\u6d41\u7684\u7b97\u6cd5\uff0c\u5e76\u4e14\u4e0d\u4f9d\u8d56\u4e8e\u6570\u636e\u6d41\u7684\u5148\u9a8c\u77e5\u8bc6\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 4\uff09\u534a\u76d1\u7763\u5206\u6790\u6846\u67b6\uff1a<\/strong><\/p>\n \u4e3a\u534a\u76d1\u7763\u5b66\u4e60\u800c\u8bbe\u8ba1\u7684\u5148\u8fdb\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u975e\u5e38\u9002\u5408\u4e8e\u667a\u6167\u57ce\u5e02\u7cfb\u7edf\uff0c\u53ef\u4ee5\u4f7f\u7528\u5c11\u91cf\u7684\u8bad\u7ec3\u6570\u636e\u96c6\u8bad\u7ec3\u6a21\u578b\uff0c\u7136\u540e\u4f7f\u7528\u5927\u91cf\u672a\u6807\u8bb0\u6570\u636e\u6765\u63d0\u9ad8\u6a21\u578b\u7684\u51c6\u786e\u6027\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 5\uff09\u53ef\u9760\u7684IoT\u5206\u6790\uff1a<\/strong><\/p>\n \u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u53ef\u4ee5\u901a\u8fc7\u5206\u6790\u5927\u91cf\u7684\u4fe1\u606f\u7269\u7406\u7cfb\u7edf\uff08CPS\uff09\u548cIoT\u7cfb\u7edf\u7684\u65e5\u5fd7\uff0c\u4ee5\u8bc6\u522b\u548c\u9884\u6d4b\u53ef\u80fd\u53d7\u5230\u653b\u51fb\u7684\u7cfb\u7edf\u7684\u8584\u5f31\u70b9\u3002\u8fd9\u5c06\u6709\u52a9\u4e8e\u7cfb\u7edf\u9632\u6b62\u6216\u4ece\u6545\u969c\u4e2d\u6062\u590d\uff0c\u4ece\u800c\u63d0\u9ad8CPS\u548cIoT\u7cfb\u7edf\u7684\u53ef\u9760\u6027\u6c34\u5e73\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 6\uff09\u81ea\u7ec4\u7ec7\u901a\u4fe1\u7f51\u7edc\uff1a<\/strong><\/p>\n \u7531\u4e8eIoT\u8bbe\u5907\u7684\u6570\u91cf\u5e9e\u5927\uff0c\u914d\u7f6e\u548c\u7ef4\u62a4\u4ed6\u4eec\u7684\u57fa\u672c\u7269\u7406M2M\u901a\u4fe1\u548c\u7f51\u7edc\u53d8\u5f97\u8d8a\u6765\u8d8a\u96be\u3002\u867d\u7136\u5927\u91cf\u7684\u7f51\u7edc\u8282\u70b9\u53ca\u5176\u76f8\u4e92\u5173\u7cfb\u5bf9\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u662f\u4e00\u4e2a\u6311\u6218\uff0c\u4f46\u5b83\u4e3a\u6df1\u5ea6\u5b66\u4e60\u4f53\u7cfb\u7ed3\u6784\u63d0\u4f9b\u4e86\u4e00\u4e2a\u673a\u4f1a\uff0c\u901a\u8fc7\u63d0\u4f9b\u81ea\u914d\u7f6e\u3001\u81ea\u4f18\u5316\u3001\u81ea\u4fee\u590d\u548c\u81ea\u8d1f\u8f7d\u5e73\u8861\u7b49\u4e00\u7cfb\u5217\u7684\u81ea\u6211\u670d\u52a1\u8db3\u4ee5\u8bc1\u660e\u5b83\u4eec\u5728\u8fd9\u4e00\u9886\u57df\u7684\u80fd\u529b\u3002<\/p>\n \u00a0 \u00a0 \u00a0 \u00a0 7\uff09\u65b0\u5174IoT\u5e94\u7528\uff1a<\/strong><\/p>\n 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\u6df1\u5ea6\u5b66\u4e60\u548cIoT\u8fd1\u5e74\u6765\u53d7\u5230\u7814\u7a76\u4eba\u5458\u548c\u5546\u4e1a\u9886\u57df\u7684\u5e7f\u6cdb\u5173\u6ce8\uff0c\u8fd9\u4e24\u9879\u6280\u672f\u5bf9\u6211\u4eec\u7684\u751f\u6d3b\u3001\u57ce\u5e02\u548c\u4e16\u754c\u90fd\u4ea7\u751f\u4e86\u79ef\u6781\u7684\u5f71\u54cd\u3002IoT\u548c\u6df1\u5ea6\u5b66\u4e60\u6784\u6210\u4e86\u4e00\u4e2a\u6570\u636e\u751f\u4ea7\u8005-\u6d88\u8d39\u8005\u94fe\uff0c\u5176\u4e2dIoT\u751f\u6210\u7531\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5206\u6790\u7684\u539f\u59cb\u6570\u636e\uff0c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4ea7\u751f\u9ad8\u5c42\u6b21\u7684\u5206\u6790\uff0c\u53cd\u9988\u7ed9IoT\u7cfb\u7edf\uff0c\u4ee5\u5fae\u8c03\u548c\u6539\u8fdb\u670d\u52a1\u3002<\/p>\n \u53c2\u8003\u6587\u732e<\/strong><\/p>\n \u30101\u3011N.-Y. Liang, G.-B. Huang, P. Saratchandran, and N. Sundararajan, \u201cA fast and accurate online sequential learning algorithm for feedforward networks,\u201d IEEE Transactions on neural networks, vol. 17, no. 6, pp. 1411\u20131423, 2006.<\/p>\n \u30102\u3011S. Ren, K. He, R. Girshick, and J. Sun, \u201cFaster R-CNN: Towards realtime object detection with region proposal networks,\u201d IEEE transactions on pattern analysis and machine intelligence, vol. 39, no. 6, pp. 1137\u20131149, 2017.<\/p>\n \u30103\u3011J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, \u201cYou only look once: Unified, real-time object detection,\u201d in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 779\u2013788.<\/p>\n \u30104\u3011M. Mohammadi, A. Al-Fuqaha, M. Guizani, and J.-S. Oh, \u201cSemisupervised deep reinforcement learning in support of IoT and smart city services,\u201d IEEE Internet of Things Journal, vol. PP, no. 99, pp. 1\u201312, 2017.<\/p>\n \u30105\u3011M. Price, J. Glass, and A. Chandrakasan, \u201cA scalable speech recognizer with deep-neural-network acoustic models and voice-activated power gating,\u201d in Proceedings of the IEEE ISSCC2017, 2017.<\/p>\n \u30106\u3011Y. He, G. J. Mendis, and J. Wei, \u201cReal-time detection of false data injection attacks in smart grid: A deep learning-based intelligent mechanism,\u201d IEEE Transactions on Smart Grid, 2017.<\/p>\n \u30107\u3011 Z. Yuan, Y. Lu, Z. Wang, and Y. Xue, \u201cDroid-sec: deep learning in android malware detection,\u201d in ACM SIGCOMM Computer Communication Review, vol. 44, no. 4. ACM, 2014, pp. 371\u2013372.<\/p>\n \u30108\u3011R. Shokri and V. Shmatikov, \u201cPrivacy-preserving deep learning,\u201d in Proceedings of the 22nd ACM SIGSAC conference on computer and communications security. ACM, 2015, pp. 1310\u20131321.<\/p>\n \u30109\u3011X. Song, H. Kanasugi, and R. 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Ma, \u201cDeepfood: Deep learning-based food image recognition for computer-aided dietary assessment,\u201d in International Conference on Smart Homes and Health Telematics. Springer, 2016, pp. 37\u201348.<\/p>\n \u301014\u3011C. R. Pereira, D. R. Pereira, J. P. Papa, G. H. Rosa, and X.-S. Yang, \u201cConvolutional neural networks applied for parkinson\u2019s disease identification,\u201d in Machine Learning for Health Informatics. Springer, 2016, pp. 377\u2013390.<\/p>\n \u301015\u3011Q. Wang, Y. Guo, L. Yu, and P. Li, \u201cEarthquake prediction based on spatio-temporal data mining: An lstm network approach,\u201d IEEE Transactions on Emerging Topics in Computing, 2017.<\/p>\n \u301016\u3011Y. Liu, E. Racah, J. Correa, A. Khosrowshahi, D. Lavers, K. Kunkel, M. Wehner, and W. Collins, \u201cApplication of deep convolutional neural networks for detecting extreme weather in climate datasets,\u201d Int\u2019l Conf. on Advances in Big Data Analytics, 2016.<\/p>\n \u301017\u3011W. Liu, J. Liu, X. Gu, K. Liu, X. Dai, and H. Ma, \u201cDeep learning based intelligent basketball arena with energy image,\u201d in International Conference on Multimedia Modeling. Springer, 2017, pp. 601\u2013613.<\/p>\n \u301018\u3011K.-C. Wang and R. Zemel, \u201cclassifying nba offensive plays using neural networks,\u201d in Proc. MIT SLOAN Sports Analytics Conf, 2016.<\/p>\n \u301019\u3011T. Kautz, B. H. Groh, J. Hannink, U. Jensen, H. Strubberg, and B. M. Eskofier, \u201cActivity recognition in beach volleyball using a deep convolutional neural network,\u201d Data Mining and Knowledge Discovery, pp. 1\u201328, 2017.<\/p>\n \u301020\u3011M. S. Ibrahim, S. Muralidharan, Z. Deng, A. Vahdat, and G. Mori, \u201cA hierarchical deep temporal model for group activity recognition,\u201d in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 1971\u20131980.<\/p>\n \u8f6c\u8f7d\u58f0\u660e<\/strong>\uff1a\u672c\u7f51\u90e8\u5206\u6587\u7ae0\u6216\u56fe\u7247\u6765\u6e90\u4e8e\u516c\u5f00\u7f51\u7edc\u8d44\u6599\uff0c\u672c\u7f51\u8f6c\u8f7d\u4f7f\u7528\u51fa\u4e8e\u4f20\u9012\u66f4\u591a\u4fe1\u606f\u548c\u4f9b\u4eba\u5b66\u4e60\u4e4b\u76ee\u7684\u3002\u5982\u8f6c\u8f7d\u6d89\u53ca\u7248\u6743\u65b9\u9762\u7684\u95ee\u9898\uff0c\u8bf7\u4f5c\u8005\u53ca\u65f6\u4e0e\u672c\u7f51\u8054\u7cfb\uff0c\u672c\u7f51\u5c06\u6309\u6cd5\u5f8b\u89c4\u5b9a\u4e88\u4ee5\u53ca\u65f6\u5220\u9664\u6216\u8005\u91c7\u53d6\u5176\u4ed6\u65b9\u5f0f\u59a5\u5584\u5904\u7406<\/p>\n","protected":false},"excerpt":{"rendered":" \u5728\u8fd9\u4e2a\u7269\u8054\u7f51\u4e0e\u4f20\u7edf\u5546\u4e1a\u3001\u751f\u6d3b\u6df1\u5ea6\u878d\u5408\u7684\u65f6\u4ee3\uff0c\u5404\u79cd\u5404\u6837\u7684\u4f20\u611f\u5668\u6bcf\u5929\u90fd\u5728\u6536\u96c6\u5e76\u4ea7\u751f\u7740\u6d89\u53ca\u5404\u4e2a\u9886\u57df\u7684\u6570\u636e\u3002 \u7531\u4e8e\u5546\u4e1a […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/www.tianyuaninfo.com\/index.php?rest_route=\/wp\/v2\/posts\/1381"}],"collection":[{"href":"http:\/\/www.tianyuaninfo.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.tianyuaninfo.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.tianyuaninfo.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.tianyuaninfo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1381"}],"version-history":[{"count":3,"href":"http:\/\/www.tianyuaninfo.com\/index.php?rest_route=\/wp\/v2\/posts\/1381\/revisions"}],"predecessor-version":[{"id":1402,"href":"http:\/\/www.tianyuaninfo.com\/index.php?rest_route=\/wp\/v2\/posts\/1381\/revisions\/1402"}],"wp:attachment":[{"href":"http:\/\/www.tianyuaninfo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1381"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.tianyuaninfo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1381"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.tianyuaninfo.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1381"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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