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

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,

Answer 1

[Greg Heath]

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

Answer 2

[Greg Heath]

 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

[atefeh gh]

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]

Actually I want to get the function

thanks