When I set net.trainP​aram.epoch​s=5000, the max epoch is still 1000 in GUI

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DAR VON
DAR VON 2017-12-4
评论： Greg Heath 2017-12-8
I can't change the max epoch using net.trainParam.epochs.
  2 个评论
Elizabeth Reese
Elizabeth Reese 2017-12-6
Can you post how you created the network? It would be helpful to see the code that reproduces this issue. Sometimes the order of changing different parameters and options can reset values back to their defaults and 1000 is the default epoch value for the training functions.
DAR VON
DAR VON 2017-12-7
function net = network_train(train_data,train_label)
layer=25;
net=newff(train_data,train_label,layer);
net.trainParam.epochs=5000;
net.trainParam.lr=0.01;
%net.trainParam.lr=lr;
net.trainParam.goal=0.001;
net.trainParam.show=50;
net.trainParam.max_fail=500;
net.trainFcn='trainscg';
net=train(net,train_data,train_label);
end
Thanks a lot.

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采纳的回答

Elizabeth Reese
Elizabeth Reese 2017-12-7
Thank you for posting your code.
Based on the Neural Network Toolbox documentation here, updating the net.trainFcn will reset the net.trainParam to the default values for the new function. So changing the net.trainFcn to trainscg changes the net.trainParam to the defaults listed here. These defaults include having the epochs set to 1000.
To fix this, just move the assignment to the net.trainFcn to before any updates to the net.trainParam.

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