matlab 训练神经网络p=[0.5,0.6,0.2,0.8.0.6;0.3,0.5,0.8,0.4,0.4;0.4,0.3,0.4,0.6,0.4;0.4,0.3,0.4,0.5,0.6;0.3,0.2,0.3,0.2,0.3]; t=[0.62,0.45,0.38,0.46,0.26]; net=newff(minmax(p),[6,1],{'tansig','purelin'},'trainlm');net.trainParam.epochs=1000;net.t

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matlab 训练神经网络p=[0.5,0.6,0.2,0.8.0.6;0.3,0.5,0.8,0.4,0.4;0.4,0.3,0.4,0.6,0.4;0.4,0.3,0.4,0.5,0.6;0.3,0.2,0.3,0.2,0.3]; t=[0.62,0.45,0.38,0.46,0.26]; net=newff(minmax(p),[6,1],{'tansig','purelin'},'trainlm');net.trainParam.epochs=1000;net.t

matlab 训练神经网络p=[0.5,0.6,0.2,0.8.0.6;0.3,0.5,0.8,0.4,0.4;0.4,0.3,0.4,0.6,0.4;0.4,0.3,0.4,0.5,0.6;0.3,0.2,0.3,0.2,0.3]; t=[0.62,0.45,0.38,0.46,0.26]; net=newff(minmax(p),[6,1],{'tansig','purelin'},'trainlm');net.trainParam.epochs=1000;net.t
matlab 训练神经网络
p=[0.5,0.6,0.2,0.8.0.6;0.3,0.5,0.8,0.4,0.4;0.4,0.3,0.4,0.6,0.4;0.4,0.3,0.4,0.5,0.6;0.3,0.2,0.3,0.2,0.3];
t=[0.62,0.45,0.38,0.46,0.26];
net=newff(minmax(p),[6,1],{'tansig','purelin'},'trainlm');
net.trainParam.epochs=1000;
net.trainParam.goal =1e-5;
net=train(net,p,t);
net.trainParam.show＝1
为什么运行老是 Missing MATLAB operator.

matlab 训练神经网络p=[0.5,0.6,0.2,0.8.0.6;0.3,0.5,0.8,0.4,0.4;0.4,0.3,0.4,0.6,0.4;0.4,0.3,0.4,0.5,0.6;0.3,0.2,0.3,0.2,0.3]; t=[0.62,0.45,0.38,0.46,0.26]; net=newff(minmax(p),[6,1],{'tansig','purelin'},'trainlm');net.trainParam.epochs=1000;net.t
你的P=[0.5,0.6,0.2,0.8.0.6; 这一段中0.8后面应当是逗号而不是点号,这样matlab是认不出来的.也就是P=[0.5,0.6,0.2,0.8,0.6;

找高手教我matlab的神经网络训练 如何查看matlab训练后的神经网络结构?这个神经网络对象不是我自己建立的. matlab 训练神经网络p=[0.5,0.6,0.2,0.8.0.6;0.3,0.5,0.8,0.4,0.4;0.4,0.3,0.4,0.6,0.4;0.4,0.3,0.4,0.5,0.6;0.3,0.2,0.3,0.2,0.3]; t=[0.62,0.45,0.38,0.46,0.26]; net=newff(minmax(p),[6,1],{'tansig','purelin'},'trainlm');net.trainParam.epochs=1000;net.t 最好是懂matlab人工神经网络的大侠出来解释下,训练结果：MSE=4.9198e-005是什么意思? 神经网络P=-1:0.1: matlab神经网络中P_test是什么意思?P为输入向量. matlab神经网络工具箱中newrb(P,T,GOAL,SPEARD,MN, 如何查看matlab训练生成的神经网络的结构和参数.如何查看matlab训练生成的神经网络的结构和参数,望高手指点 matlab的BP神经网络中,各训练函数都有什么特点?trainlm,trainbr,traingdm matlab人脸朝向识别的设计流程是?怎么提取特征向量?为什么需要神经网络训练? matlab bp神经网络 epoch为何会随机变化 如何修改训练步长 matlab神经网络中x(:, 什么是matlab神经网络 Matlab神经网络预测问题 MATLAB怎样进行神经网络 MATLAB BP神经网络训练P=[392,584,776,2713,3236,2783,2163;718,1043,1368,4318,5054,4483,3769];T=[1.4404,1.4722,1.4753,1.497,1.7663,1.6807,1.7426];net=newff(minmax(P),[3,1],{'tansig','purelin'},'traingdm');net.trainParam.show = 50;net.trainParam.lr matlab BP神经网络预测下一组数据问题如题,输入p为n行6列,下面代码我仅举例了4行,实际有很多行.现需要进行matlab使用BP神经网络编程,将以前的所有样本进行训练,预测下一组将出现的6个数据. matlab神经网络工具箱的网络训练问题%输入向量inputsinputs=[0.1 0.20.3 0.4 0.8;0.6 0.7 0.6 0.9 1;1 2 3 6 5;6 7 8 9 12;11 15 13 14 15];%归一化处理for i=1:5p(i,:)=(inputs(i,:)-min(inputs(i,:)))/(max(inputs(i,:))-min(inputs(i,:)))end