mae as performance function for feedforward network in MATLAB2020b
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net=feedforwardnet([5 5 5 5 5]);
%%
net.trainFcn='trainbr';
net.trainParam.epochs=12000;
net.divideFcn= 'dividerand'; % divide the data randomly
net.divideParam.trainRatio=0.85;
net.divideParam.valRatio=0.15;
% net.divideParam.testRatio=0.05;
net.performFcn= 'mae'; %newfcn
net.trainParam.mu=0.01; % Initial mu
net.trainParam.mu_dec=0.1; % mu decrease factor
net.trainParam.mu_inc=2.5; % mu increase factor
net.trainParam.mu_max=20e10; % Maximum mu
net.trainParam.max_fail=200;
net.trainParam.goal=1e-6;
%%
[net,tr]=train(net,S_tv1,e_tv','useParallel','yes','showResources','yes'); % ,'useParallel','yes','showResources','yes'
Why I have use mae, but the NNtool still show results of mse ? I am not sure whether matlab has
used the mae as the performance function.
回答（1 个）
Sindhu Karri
2020-11-11
0 个投票
In the code using net.trainFunc as ‘trainbr’ MATLAB is generating warning message and is considering the default performance function (‘mse’) instead of ‘mae’
For detailed information refer to the Limitations section in the attached link:
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2020-11-11
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