www.gusucode.com > nnet 案例源码 matlab代码程序 > nnet/UgMultilayerExample.m
%% UgMultilayer % %% prelim setup % Copyright 2015 The MathWorks, Inc. rng(0) %% train network load house_dataset net = feedforwardnet(20); [net,tr] = train(net,houseInputs,houseTargets); %% analyze performance tr %% plot performance plotperf(tr) %% regression plot houseOutputs = net(houseInputs); trOut = houseOutputs(tr.trainInd); vOut = houseOutputs(tr.valInd); tsOut = houseOutputs(tr.testInd); trTarg = houseTargets(tr.trainInd); vTarg = houseTargets(tr.valInd); tsTarg = houseTargets(tr.testInd); plotregression(trTarg,trOut,'Train',vTarg,vOut,'Validation',... tsTarg,tsOut,'Testing')