MATLAB: How to know what initial weights and biases were used by ‘train’ function

MATLABneural networkneural networks

Hi!

Is there any way to know what values of initial weights and biases were used by the 'train' function in the MATLAB neural network toolbox, if the net was created using 'patternnet'?

Thanks.

Best Answer

1. Reset the random-number generator and weights (ideally zero) to the state that existed at the call of train

2. Set the training rate to it's lowest allowable value

3. Set the number of training epochs to 1

4. Either use getwb or net.IW, net.b and net.LW

Hope this helps.

Thank you for formally accepting my answer

Greg

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Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: Neural network weight and bias initializaiton problem

 net                        = patternnet(10);
 net.inputs{1}.processFcns  = {};
 net.outputs{2}.processFcns = {};
 net                        = configure(net,INPUT,Target);
 net                        = setwb(net,Weights);
 IW                         = net.IW
 b                          = net.b
 LW                         = net.LW

Hope this helps.

Thank you for formally accepting my answer

Greg

Best Answer

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MATLAB: How to train a feedfordward neural network with error weights

MATLAB: Neural network weight and bias initializaiton problem

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