Default parameters for net.trainParam and net.trainFcn - Neural Network Toolbox
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I do not have access to the Matlab Neural Network toolbox at this time. What are the default parameters of net.trainParam and net.trainFcn if you create a network by the newff.m function, say, net = newff(feature_vector, output_vector, num_hidden_nodes), and if you train the output network with the train.m function, i.e. [net, tr, Y, E, Pf, Af] = train(net, feature_vector, output_vector)?
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Accepted Answer
Greg Heath
on 7 May 2013
[inputs,targets] = simplefit_dataset;
whos
net = newff(inputs,targets,5)
% Name Size Bytes Class Attributes
% inputs 1x94 752 double
% targets 1x94 752 double
trainFcn = net.trainFcn % 'trainlm' (Levenberg-Marquardt)
mingrad = net. trainParam.min_grad % 1e-5
mu = net.trainparam.mu % 1e-3
mudec = net. trainParam.mu_dec % 0.1
muinc = net.trainparam.mu_inc % 10
mumax = net.trainParam. .mu_max % 1e10
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Greg Heath
on 29 Sep 2013
The obvious reason: TRAINLM does not use a learning rate. See the references to understand how the LM algorithm works.
Berna Bulgurcu
on 29 Sep 2013
http://dali.feld.cvut.cz/ucebna/matlab/toolbox/nnet/trainlm.html. This page says that default learning rate is 0.01 for TRAINLM. Thank you for your answer.
More Answers (1)
guirat nedjma
on 31 Mar 2017
Edited: guirat nedjma
on 31 Mar 2017
changement de la valeur de net.trainParam.lr sur trainrp ne fait rien changer dans mes resultat
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