www.gusucode.com > nnet 案例源码 matlab代码程序 > nnet/UgDynamicErrorWeightsExample.m
%% UgDynamicErrorWeights % %% train and plot % Copyright 2015 The MathWorks, Inc. y = laser_dataset; y = y(1:600); ind = 1:600; ew = 0.99.^(600-ind); figure plot(ew) ew = con2seq(ew); ftdnn_net = timedelaynet([1:8],10); ftdnn_net.trainParam.epochs = 1000; ftdnn_net.divideFcn = ''; [p,Pi,Ai,t,ew1] = preparets(ftdnn_net,y,y,{},ew); [ftdnn_net1,tr] = train(ftdnn_net,p,t,Pi,Ai,ew1);