\u53ef\u60dc\u7684\u662f\u3001\u4e0a\u8ff0\u7684\u8c03\u6574\u65b9\u6cd5\u4e2d\uff0c\u5e76\u6ca1\u6709\u8c03\u6574\u5230$\\theta$\u503c\uff0c\u5982\u679c\u6211\u4eec\u60f3\u8981\u8fde$\\theta$\u503c\u4e5f\u4e00\u5e76\u8bbe\u8ba1\u6210\u53ef\u6d6e\u52a8\u7684\uff0c\u90a3\u4e48\u5c31\u53ef\u4ee5\u5c06$\\theta$\u52a0\u5165\u5230w\u4e2d\uff0c\u6210\u4e3a$w_0$\uff0c\uff0c\u5e76\u5c06$x_0$\u8bbe\u4e3a- 1\uff0c\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/p>\n
\u7ecf\u8fc7\u4e0a\u8ff0\u7684\u8c03\u6574\u7b80\u5316\u4e4b\u540e\uff0c\u6211\u4eec\u53ea\u8981\u5728\u8c03\u6574\u6743\u91cd\u65f6\u52a0\u5165\u4e0b\u5217\u8fd9\u6761\uff0c\u5c31\u53ef\u4ee5\u8fde\u4e5f\u4e00\u5e76\u8c03\u6574\u4e86\u3002<\/p>\n
\n$w_0 = \\alpha * x_0 * e$
\n<\/center><\/p>\n\u90a3\u4e48\u6709\u51e0\u4e2a\u95ee\u9898\uff0c\u9700\u8981\u601d\u8003\uff1a<\/p>\n
\u5f53\u6211\u4eec\u5bf9\u67d0\u5e03\u6797\u51fd\u6570\u300c\u771f\u503c\u300d\u4e2d\u7684\u6bcf\u4e00\u4e2a\u8f93\u5165\uff0c\u90fd\u53cd\u8986\u8fdb\u884c\u4e0a\u8ff0\u8c03\u6574\uff0c\u6700\u540e\u662f\u5426\u80fd\u5b66\u4f1a\u8be5\u300c\u5e03\u6797\u51fd\u6570\u300d\u5462\uff1f<\/p>\n
\u90a3\u4e48\u3001\u6211\u4eec\u662f\u5426\u80fd\u591f\u7528\u8fd9\u4e48\u7b80\u5355\u7684\u65b9\u6cd5\u8ba9\u611f\u77e5\u5668\u5b66\u4f1aAND\u3001OR \u4e0eXOR \u51fd\u6570\u5462\uff1f<\/p>\n
\u5982\u679c\u53ef\u4ee5\u7684\u8bdd\uff0c\u90a3\u4e48\u6211\u4eec\u80fd\u4e0d\u80fd\u6269\u5927\u5230n \u8f93\u5165\u7684\u611f\u77e5\u5668\u4e0a\uff0c\u8ba9\u611f\u77e5\u5668\u5b66\u4f1a\u4efb\u4f55\u4e00\u4e2a\u5e03\u6797\u51fd\u6570\u5462\uff1f<\/p>\n
\u5982\u679c\u611f\u77e5\u5668\u53ef\u4ee5\u5b66\u4f1a\u4efb\u4f55\u4e00\u4e2a\u5e03\u6797\u51fd\u6570\uff0c\u90a3\u5c31\u4f1a\u5177\u6709\u5f3a\u5927\u7684\u5a01\u529b\u4e86\uff01<\/p>\n
\u4f46\u53ef\u60dc\u7684\u662f\uff0c\u8fd9\u4e2a\u95ee\u9898\u7684\u7b54\u6848\u662f\u5426\u5b9a\u7684\uff0c\u867d\u7136\u611f\u77e5\u5668\u53ef\u4ee5\u5b66\u4f1aAND \u4e0eOR\uff0c\u4f46\u662f\u5374\u4e0d\u53ef\u80fd\u5b66\u4f1aXOR \u51fd\u6570\u3002<\/p>\n
\u5728\u8bf4\u660e\u8fd9\u4e2a\u95ee\u9898\u7684\u7406\u8bba\u4e4b\u524d\uff0c\u5148\u8ba9\u6211\u4eec\u900f\u8fc7\u5b9e\u4f5c\u6765\u4f53\u4f1a\u4e00\u4e0b\u611f\u77e5\u5668\u662f\u5982\u4f55\u5b66\u4e60AND \u4e0eOR \u51fd\u6570\u7684\uff0c\u7136\u540e\u611f\u53d7\u4e00\u4e0b\u611f\u77e5\u5668\u5728\u5b66XOR \u51fd\u6570\u65f6\u53d1\u751f\u4e86\u4ec0\u4e48\u95ee\u9898\uff1f<\/p>\n
\u9700\u8981\u4e86\u89e3\u4e86\u7a0b\u5e8f\u7684\u8fd0\u4f5c\u539f\u7406\u4e4b\u540e\uff0c\u518d\u6765\u8bf4\u660e\u4e3a\u4f55\u611f\u77e5\u5668\u65e0\u6cd5\u5b66\u4f1aXOR \u51fd\u6570\u3002<\/p>\n
\u611f\u77e5\u5668\u5b9e\u4f8b<\/h3>\n
\u4ee5\u4e0b\u662f\u5b9e\u4f8b\u611f\u77e5\u5668\u4ee3\u7801\uff0c\u5728node.js \u73af\u5883\u4e0b\u6267\u884c\u6b64\u4e00\u7a0b\u5f0f\uff1a<\/p>\n
var log = console.log;\n\nvar Perceptron = function() { \/\/ \u611f\u77e5\u5668\n this.step=function(x, w) { \/\/ \u8ba1\u7b97\u76ee\u524d\u6743\u91cdw\u7684\u60c5\u51b5\u4e0b\uff0c\u7f51\u7edc\u7684\u8f93\u51fa\u503c\u4e3a0\u62161\n var result = w[0]*x[0]+w[1]*x[1]+w[2]*x[2]; \/\/ y=w0*x0+x1*w1+x2*w2=-theta+x1*w1+x2*w2\n if (result >= 0) \/\/ \u5982\u679c\u7ed3\u679c\u5927\u4e8e\u96f6\n return 1; \/\/ \u5c31\u8f93\u51fa 1\n else \/\/ \u5426\u5219\n return 0; \/\/ \u5c31\u8f93\u51fa 0\n }\n\n this.training=function(truthTable) { \/\/ \u8bad\u7ec3\u51fd\u6570training\uff08truthTable\uff09\uff0c\u5176\u4e2dtruthTable\u662f\u76ee\u6807\u7684\u771f\u503c\n var rate = 0.01; \/\/ \u5b66\u4e60\u901f\u7387\u8c03\u6574\uff0c\u4e5f\u5c31\u662falpha\n var w = [ 1, 0, 0 ]; \n for (var loop=0; loop<1000; loop++) { \/\/ \u6700\u591a\u8bad\u7ec3\u4e00\u5343\u8f6e\n var eSum = 0.0;\n for (var i=0; i<truthTable.length; i++) { \/\/ \u6bcf\u8f6e\u5bf9\u4e8e\u771f\u503c\u4e2d\u7684\u6bcf\u4e2a\u8f93\u5165\u8f93\u51fa\u914d\u5bf9\uff0c\u90fd\u8bad\u7ec3\u4e00\u6b21\u3002\n var x = [ -1, truthTable[i][0], truthTable[i][1] ]; \/\/ \u8f93\u5165\uff1a x\n var yd = truthTable[i][2]; \/\/ \u671f\u671b\u7684\u8f93\u51fa yd\n var y = this.step(x, w); \/\/ \u76ee\u524d\u7684\u8f93\u51fa y\n var e = yd - y; \/\/ \u5dee\u8ddd e = \u671f\u671b\u7684\u8f93\u51fa yd - \u76ee\u524d\u7684\u8f93\u51fa y\n eSum += e*e; \/\/ \u8ba1\u7b97\u5dee\u8ddd\u603b\u548c\n var dw = [ 0, 0, 0 ]; \/\/ \u6743\u91cd\u8c03\u6574\u7684\u5e45\u5ea6dw\n dw[0] = rate * x[0] * e; w[0] += dw[0]; \/\/ w[0] \u7684\u8c03\u6574\u5e45\u5ea6\u4e3a dw[0]\n dw[1] = rate * x[1] * e; w[1] += dw[1]; \/\/ w[1] \u7684\u8c03\u6574\u5e45\u5ea6\u4e3a dw[1]\n dw[2] = rate * x[2] * e; w[2] += dw[2]; \/\/ w[2] \u7684\u8c03\u6574\u5e45\u5ea6\u4e3a dw[2]\n if (loop % 10 == 0)\n log(\"%d:x=(%s,%s,%s) w=(%s,%s,%s) y=%s yd=%s e=%s\", loop, \n x[0].toFixed(3), x[1].toFixed(3), x[2].toFixed(3), \n w[0].toFixed(3), w[1].toFixed(3), w[2].toFixed(3), \n y.toFixed(3), yd.toFixed(3), e.toFixed(3));\n }\n if (Math.abs(eSum) < 0.0001) return w; \/\/ \u5f53\u8bad\u7ec3\u7ed3\u679c\u8bef\u5dee\u591f\u5c0f\u65f6\uff0c\u5c31\u5b8c\u6210\u8bad\u7ec3\u4e86\u3002\n }\n return null; \/\/ \u5426\u5219\uff0c\u5c31\u4f20\u4f1anull\u4ee3\u8868\u8bad\u7ec3\u5931\u8d25\u3002\n }\n}\n\nfunction learn(tableName, truthTable) { \/\/ \u5b66\u4e60\u4e3b\u7a0b\u5f0f\uff1a\u8f93\u5165\u4e3a\u76ee\u6807\u7684\u771f\u503ctruthTable\u4e0e\u5176\u540d\u79f0tableName\u3002\n log(\"================== \u5b66\u4e60 %s \u51fd\u6570 ====================\", tableName);\n var p = new Perceptron(); \/\/ \u5efa\u7acb\u611f\u77e5\u5668\n var w = p.training(truthTable); \/\/ \u8bad\u7ec3\u4f20\u611f\u5668\n if (w != null) \/\/ \u663e\u793a\u8bad\u7ec3\u7ed3\u679c\n log(\"\u5b66\u4e60\u6210\u529f !\");\n else\n log(\"\u5b66\u4e60\u5931\u8d25 !\");\n log(\"w=%j\", w);\n}\n\nvar andTable = [ [ 0, 0, 0 ], [ 0, 1, 0 ], [ 1, 0, 0 ], [ 1, 1, 1 ] ]; \/\/ AND\u51fd\u6570\u7684\u771f\u503c\nvar orTable = [ [ 0, 0, 0 ], [ 0, 1, 1 ], [ 1, 0, 1 ], [ 1, 1, 1 ] ]; \/\/ OR\u51fd\u6570\u7684\u771f\u503c\nvar xorTable = [ [ 0, 0, 0 ], [ 0, 1, 1 ], [ 1, 0, 1 ], [ 1, 1, 0 ] ]; \/\/ XOR\u51fd\u6570\u7684\u771f\u503c\n\nlearn(\"and\", andTable); \/\/ \u5b66\u4e60AND\u51fd\u6570\nlearn(\"or\", orTable); \/\/ \u5b66\u4e60OR\u51fd\u6570\nlearn(\"xor\", xorTable); \/\/ \u5b66\u4e60XOR\u51fd\u6570\n<\/code><\/pre>\n\u6267\u884c\u7ed3\u679c\uff1a<\/p>\n
================== \u5b66\u4e60 and \u51fd\u6570 ====================\n0:x=(-1.000,0.000,0.000) w=(1.000,0.000,0.000) y=0.000 yd=0.000 e=0.000\n0:x=(-1.000,0.000,1.000) w=(1.000,0.000,0.000) y=0.000 yd=0.000 e=0.000\n0:x=(-1.000,1.000,0.000) w=(1.000,0.000,0.000) y=0.000 yd=0.000 e=0.000\n0:x=(-1.000,1.000,1.000) w=(0.990,0.010,0.010) y=0.000 yd=1.000 e=1.000\n10:x=(-1.000,0.000,0.000) w=(0.900,0.100,0.100) y=0.000 yd=0.000 e=0.000\n10:x=(-1.000,0.000,1.000) w=(0.900,0.100,0.100) y=0.000 yd=0.000 e=0.000\n10:x=(-1.000,1.000,0.000) w=(0.900,0.100,0.100) y=0.000 yd=0.000 e=0.000\n10:x=(-1.000,1.000,1.000) w=(0.890,0.110,0.110) y=0.000 yd=1.000 e=1.000\n20:x=(-1.000,0.000,0.000) w=(0.800,0.200,0.200) y=0.000 yd=0.000 e=0.000\n20:x=(-1.000,0.000,1.000) w=(0.800,0.200,0.200) y=0.000 yd=0.000 e=0.000\n20:x=(-1.000,1.000,0.000) w=(0.800,0.200,0.200) y=0.000 yd=0.000 e=0.000\n20:x=(-1.000,1.000,1.000) w=(0.790,0.210,0.210) y=0.000 yd=1.000 e=1.000\n30:x=(-1.000,0.000,0.000) w=(0.700,0.300,0.300) y=0.000 yd=0.000 e=0.000\n30:x=(-1.000,0.000,1.000) w=(0.700,0.300,0.300) y=0.000 yd=0.000 e=0.000\n30:x=(-1.000,1.000,0.000) w=(0.700,0.300,0.300) y=0.000 yd=0.000 e=0.000\n30:x=(-1.000,1.000,1.000) w=(0.690,0.310,0.310) y=0.000 yd=1.000 e=1.000\n\u5b66\u4e60\u6210\u529f !\nw=[0.6599999999999997,0.34000000000000014,0.34000000000000014]\n================== \u5b66\u4e60 or \u51fd\u6570 ====================\n0:x=(-1.000,0.000,0.000) w=(1.000,0.000,0.000) y=0.000 yd=0.000 e=0.000\n0:x=(-1.000,0.000,1.000) w=(0.990,0.000,0.010) y=0.000 yd=1.000 e=1.000\n0:x=(-1.000,1.000,0.000) w=(0.980,0.010,0.010) y=0.000 yd=1.000 e=1.000\n0:x=(-1.000,1.000,1.000) w=(0.970,0.020,0.020) y=0.000 yd=1.000 e=1.000\n10:x=(-1.000,0.000,0.000) w=(0.700,0.200,0.200) y=0.000 yd=0.000 e=0.000\n10:x=(-1.000,0.000,1.000) w=(0.690,0.200,0.210) y=0.000 yd=1.000 e=1.000\n10:x=(-1.000,1.000,0.000) w=(0.680,0.210,0.210) y=0.000 yd=1.000 e=1.000\n10:x=(-1.000,1.000,1.000) w=(0.670,0.220,0.220) y=0.000 yd=1.000 e=1.000\n20:x=(-1.000,0.000,0.000) w=(0.460,0.340,0.340) y=0.000 yd=0.000 e=0.000\n20:x=(-1.000,0.000,1.000) w=(0.450,0.340,0.350) y=0.000 yd=1.000 e=1.000\n20:x=(-1.000,1.000,0.000) w=(0.440,0.350,0.350) y=0.000 yd=1.000 e=1.000\n20:x=(-1.000,1.000,1.000) w=(0.440,0.350,0.350) y=1.000 yd=1.000 e=0.000\n\u5b66\u4e60\u6210\u529f !\nw=[0.37999999999999945,0.38000000000000017,0.38000000000000017]\n================== \u5b66\u4e60 xor \u51fd\u6570 ====================\n0:x=(-1.000,0.000,0.000) w=(1.000,0.000,0.000) y=0.000 yd=0.000 e=0.000\n0:x=(-1.000,0.000,1.000) w=(0.990,0.000,0.010) y=0.000 yd=1.000 e=1.000\n0:x=(-1.000,1.000,0.000) w=(0.980,0.010,0.010) y=0.000 yd=1.000 e=1.000\n0:x=(-1.000,1.000,1.000) w=(0.980,0.010,0.010) y=0.000 yd=0.000 e=0.000\n10:x=(-1.000,0.000,0.000) w=(0.800,0.100,0.100) y=0.000 yd=0.000 e=0.000\n10:x=(-1.000,0.000,1.000) w=(0.790,0.100,0.110) y=0.000 yd=1.000 e=1.000\n10:x=(-1.000,1.000,0.000) w=(0.780,0.110,0.110) y=0.000 yd=1.000 e=1.000\n10:x=(-1.000,1.000,1.000) w=(0.780,0.110,0.110) y=0.000 yd=0.000 e=0.000\n...\n900:x=(-1.000,0.000,0.000) w=(0.010,-0.010,-0.000) y=1.000 yd=0.000 e=-1.000\n900:x=(-1.000,0.000,1.000) w=(-0.000,-0.010,0.010) y=0.000 yd=1.000 e=1.000\n900:x=(-1.000,1.000,0.000) w=(-0.010,-0.000,0.010) y=0.000 yd=1.000 e=1.000\n900:x=(-1.000,1.000,1.000) w=(-0.000,-0.010,-0.000) y=1.000 yd=0.000 e=-1.000\n...\n990:x=(-1.000,0.000,0.000) w=(0.010,-0.010,-0.000) y=1.000 yd=0.000 e=-1.000\n990:x=(-1.000,0.000,1.000) w=(-0.000,-0.010,0.010) y=0.000 yd=1.000 e=1.000\n990:x=(-1.000,1.000,0.000) w=(-0.010,-0.000,0.010) y=0.000 yd=1.000 e=1.000\n990:x=(-1.000,1.000,1.000) w=(-0.000,-0.010,-0.000) y=1.000 yd=0.000 e=-1.000\n\u5b66\u4e60\u5931\u8d25 !\nw=null\n<\/code><\/pre>\n\u5206\u6790<\/h4>\n
\u60a8\u53ef\u4ee5\u770b\u5230\u5728\u4e0a\u8ff0\u6267\u884c\u7ed3\u679c\u4e2d\uff0c AND \u4e0eOR \u4e24\u4e2a\u771f\u503c\uff0c\u8f93\u5165\u5230\u5355\u5c42\u611f\u77e5\u5668\u8fdb\u884c\u8bad\u7ec3\u4e4b\u540e\uff0c\u90fd\u53ef\u4ee5\u6b63\u786e\u7684\u8fdb\u884c\u5b66\u4e60\uff0c\u4e5f\u5c31\u662f\u5355\u5c42\u611f\u77e5\u5668\u7684\u8f93\u51fa\u53ef\u4ee5\u4e0e\u8be5\u771f\u503c\u5b8c\u5168\u4e00\u81f4\uff0c\u8fd9\u4ee3\u8868\u5355\u5c42\u611f\u77e5\u5668\u5b66\u4e60\u6210\u529f\u4e86\u3002<\/p>\n
\u4f46\u662f\u5bf9\u4e8eXOR \u8fd9\u4e2a\u771f\u503c\uff0c\u5355\u5c42\u611f\u77e5\u5668\u5374\u65e0\u6cd5\u8ba9\u8f93\u51fa\u4e0e\u771f\u503c\u5b8c\u5168\u4e00\u81f4\uff0c\u8fd9\u4e5f\u6b63\u662fMinsky \u6240\u8bf4\u7684\uff0c\u5355\u5c42\u611f\u77e5\u5668\u65e0\u6cd5\u6b63\u786e\u5b66\u4e60XOR \u51fd\u6570\u7684\u539f\u56e0\u3002<\/p>\n
\u4f1a\u4ea7\u751f\u8fd9\u4e2a\u73b0\u8c61\u7684\u539f\u56e0\uff0c\u53ef\u4ee5\u7528\u7ebf\u6027\u4ee3\u6570\u7684\u6982\u5ff5\u89e3\u91ca\uff0c\u4e0b\u56fe\u663e\u793a\u4e86AND, OR, XOR \u7b49\u8fd9\u4e09\u4e2a\u771f\u503c\u5728\u4e8c\u7ef4\u7ebf\u6027\u7a7a\u95f4\u7684\u72b6\u51b5\uff0c\u5176\u4e2d\u7684\u7c89\u7ea2\u8272\u5706\u5708\u4ee3\u8868\u771f\u503c\u7684\u76ee\u6807\u8f93\u51fa\u503c\u4e3a1\uff0c\u800c\u6d45\u84dd\u8272\u5706\u5708\u4ee3\u8868\u76ee\u6807\u8f93\u51fa\u4e3a0\u3002<\/p>\n
![\"\u751f\u7269\u795e\u7ecf\u7ec6\u80de\u7ed3\u6784\u56fe\"](\"http:\/\/hungking.cc\/assets\/imgs\/indeex.cc\/perceptronLinearAnalysis.jpg\")
<\/p>\n
\u60a8\u53ef\u4ee5\u770b\u5230\u5bf9\u4e8eAND \u4e0eOR \u90fd\u53ef\u4ee5\u7528\u4e00\u6761\u7ebf\u5c06\u300c\u7c89\u7ea2\u8272\u5706\u5708\u300d\u4e0e\u300c\u6d45\u84dd\u8272\u5706\u5708\u300d\u5206\u5272\u5f00\u6765\u3002\u4f46\u662f\u5bf9XOR \u800c\u8a00\uff0c\u7531\u4e8e\u7c89\u7ea2\u8272\u4e0e\u6d45\u84dd\u8272\u5206\u522b\u5904\u4e8e\u659c\u5bf9\u89d2\uff0c\u6211\u4eec\u6ca1\u6709\u529e\u6cd5\u753b\u51fa\u5355\u4e00\u6761\u7ebf\u5c06\u4e24\u8005\u5206\u5f00\uff0c\u8fd9\u4e5f\u662f\u4f1a\u4f55\u4e0a\u8ff0\u5355\u5c42\u611f\u77e5\u5668\u5728\u5b66\u4e60XOR \u8fd9\u4e2a\u51fd\u6570\u4e0a\u4f1a\u5931\u8d25\u7684\u539f\u56e0\u4e86\u3002<\/p>\n
\u7ed3\u8bed<\/h4>\n
\u53ef\u60dc\u7684\u662f\uff0c\u5355\u5c42\u611f\u77e5\u5668\u5e76\u6ca1\u6709\u529e\u6cd5\u5b66\u4f1a\u4efb\u610f\u7684\u5e03\u6797\u51fd\u6570\uff0c\u8fd9\u4e2a\u7ed3\u679c\u867d\u7136\u4ee4\u4eba\u5931\u671b\uff0c\u4f46\u662f\u671f\u671b\u8fd9\u4e48\u7b80\u5355\u7684\u6a21\u578b\u5c31\u80fd\u62e5\u6709\u5f3a\u5927\u7684\u80fd\u529b\uff0c\u5176\u5b9e\u662f\u4e00\u79cd\u975e\u5e38\u5929\u771f\u7684\u60f3\u6cd5\u3002<\/p>\n
\u4e0d\u8fc7\u3001\u5982\u679c\u6211\u4eec\u5c06\u8fd9\u79cd\u5355\u5c42\u7684\u7f51\u7edc\u7ee7\u7eed\u6269\u5145\uff0c\u53d8\u6210\u53cc\u5c42\u4ee5\u4e0a\u7684\u7f51\u7edc\u7684\u8bdd\uff0c\u5176\u80fd\u529b\u5c31\u4f1a\u5927\u5927\u7684\u63d0\u5347\u4e86\uff0c\u8fd9\u4e5f\u5c31\u662f\u6211\u4eec\u63a5\u4e0b\u6765\u8981\u63a2\u8ba8\u7684\u4e3b\u9898\uff0c\u53cd\u4f20\u9012\u6f14\u7b97\u6cd5(Back -Propagation Algorithm) \u4e86\u3002<\/p>\n
code enjoy\uff01 \ud83d\ude42<\/p>\n
\u4f5c\u8005\uff1aindeex<\/p>\n
\u94fe\u63a5\uff1ahttp:\/\/indeex.cc<\/a><\/p>\n\u8457\u4f5c\u6743\u5f52\u4f5c\u8005\u6240\u6709\u3002\u5546\u4e1a\u8f6c\u8f7d\u8bf7\u8054\u7cfb\u4f5c\u8005\u83b7\u5f97\u6388\u6743\uff0c\u975e\u5546\u4e1a\u8f6c\u8f7d\u8bf7\u6ce8\u660e\u51fa\u5904\u3002<\/p>\n
\n","protected":false},"excerpt":{"rendered":"\u795e\u7ecf\u7f51\u7edc\u7b80\u4ecb \u795e\u7ecf\u7f51\u7edc\u662f\u6307\u4e00\u79cd\u6a21\u62df\u4eba\u7c7b\u795e\u7ecf\u7cfb\u7edf\u6240\u8bbe\u8ba1\u51fa\u6765\u7684\u7a0b\u5e8f\u601d\u60f3\uff0c\u7528\u6765\u6a21\u62df\u4eba\u7c7b\u89c6\u89c9\u3001\u542c\u89c9\u7b49\u7b49\u667a\u6167\u884cRead More<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[4],"_links":{"self":[{"href":"https:\/\/blog.indeex.club\/index.php\/wp-json\/wp\/v2\/posts\/103"}],"collection":[{"href":"https:\/\/blog.indeex.club\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.indeex.club\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.indeex.club\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.indeex.club\/index.php\/wp-json\/wp\/v2\/comments?post=103"}],"version-history":[{"count":1,"href":"https:\/\/blog.indeex.club\/index.php\/wp-json\/wp\/v2\/posts\/103\/revisions"}],"predecessor-version":[{"id":112,"href":"https:\/\/blog.indeex.club\/index.php\/wp-json\/wp\/v2\/posts\/103\/revisions\/112"}],"wp:attachment":[{"href":"https:\/\/blog.indeex.club\/index.php\/wp-json\/wp\/v2\/media?parent=103"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.indeex.club\/index.php\/wp-json\/wp\/v2\/categories?post=103"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.indeex.club\/index.php\/wp-json\/wp\/v2\/tags?post=103"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"\u751f\u7269\u795e\u7ecf\u7ec6\u80de\u7ed3\u6784\u56fe\"](\"http:\/\/hungking.cc\/assets\/imgs\/indeex.cc\/NeuralCell.jpg\")
<\/p>\n![\"\u62bd\u8c61\u534e\u7684\u751f\u7269\u795e\u7ecf\u7ec6\u80de\u7ed3\u6784\u56fe\"](\"http:\/\/hungking.cc\/assets\/imgs\/indeex.cc\/NeuralNet1.jpg\")
<\/p>\n![\"\u611f\u77e5\u5668\u7ed3\u6784\u6a21\u578b\"](\"http:\/\/hungking.cc\/assets\/imgs\/indeex.cc\/perceptron.jpg\")
<\/p>\n![\"\u611f\u77e5\u5668\u7ed3\u6784\u56fe\"](\"http:\/\/hungking.cc\/assets\/imgs\/indeex.cc\/perceptron2.jpg\")
<\/p>\n