how can I access the weight??? and bias??

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hi I am a beginer. after design a perceptron neural network how can I access the weight??? and bias?? I dont mean sim(net). Kindly guide me. Thanks,

Accepted Answer

Greg Heath
Greg Heath on 30 Aug 2014
If you you normalize your inputs and targets using maxmin or mapstd, the function for the normalized variables is
yn = B2 + LW*tansig(IW*xn+B1);
Hope this helps.
Thank you for formally accepting my answer
Greg

More Answers (1)

Greg Heath
Greg Heath on 28 Aug 2014
clear all, clc
[x,t] = simplefit_dataset;
net = fitnet;
rng(0)
net = train(net,x,t);
IW = net.IW{1,1}
b1 = net.b{1}
LW = net.LW{2,1}
b2 = net.b{2}
whos IW b1 LW b2
Hope this helps.
Thank you for formally accepting my answer
Greg
  2 Comments
atefeh gh
atefeh gh on 28 Aug 2014
thanks so if I want to write a function for this how can write this?? here I think we have one feature but w and b are 10, so how can Relating them to each other and make a function for it ?? Suppose that my feature is X.
atefeh gh
atefeh gh on 28 Aug 2014
Actually I want to get the function
thanks

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