文件名称：新版Matlab中神经网络训练函数Newff的详细讲解-新版Matlab中神经网络训练函数Newff的使用方法.doc
文件大小：175KB
文件格式：DOC
更新时间：2022-09-01 17:19:39
matlab
新版Matlab中神经网络训练函数Newff的详细讲解-新版Matlab中神经网络训练函数Newff的使用方法.doc 本帖最后由 小小2008鸟 于 2013-1-15 21:42 编辑 新版Matlab中神经网络训练函数Newff的详细讲解 一、 介绍新版newffSyntax· net = newff],{TF1 TF2...TFNl}, BTF,BLF,PF,IPF,OPF,DDF) Descriptionnewff],{TF1 TF2...TFNl}, BTF,BLF,PF,IPF,OPF,DDF) takes several arguments PR x Q1 matrix of Q1 sample R-element input vectorsTSN x Q2 matrix of Q2 sample SN-element target vectorsSiSize of ith layer, for N-1 layers, default = [ ]. TFiTransfer function of ith layer. (Default = 'tansig' for hidden layers and 'purelin' for output layer.)BTFBackpropagation network training function BLFBackpropagation weight/bias learning function IPFRow cell array of input processing functions. OPFRow cell array of output processing functions. DDFData divison function ExamplesHere is a problem consisting of inputs P and targets T to be solved with a network.· P = [0 1 2 3 4 5 6 7 8 9 10];T = [0 1 2 3 4 3 2 1 2 3 4];Here a network is created with one hidden layer of five neurons.· net = newff;The network is simulated and its output plotted against the targets.· Y = sim;plotThe network is trained for 50 epochs. Again the network's output is plotted.· net.trainParam.epochs = 50;net = train;Y = sim; plot 二、 新版newff与旧版newff调用语法对比 Example1比如输入input（6*1000），输出output为（4*1000），那么旧版定义：net=newff,[14,4],{'tansig','purelin'},'trainlm');新版定义：net=newff; Example2比如输入input（6*1000），输出output为（4*1000），那么旧版定义：net=newff,[49,10,4],{'tansig','tansig','tansig'},'traingdx');新版定义：net=newff; 更详细请看word文档 新版Matlab中神经网络训练函数Newff的使用方法.doc