MATLAB Central Newsreader - Neural Networks and Genetic Algorithm

Re: Neural Networks and Genetic Algorithm

Akmal Aulia — Wed, 04 Mar 2009 10:59:02 -0500

"zaheer ahmad" <ahmad.zaheer@yah00000.com> wrote in message <gmv4l2$7ib$1@fred.mathworks.com>...
> Hi All of You
> How to optimize Feed Forward Neural Network output using Genetic Algorithm instead of backpropagation Algorithm. i.e. to used GA for weights optimization.
> A small Matlab code will help me alot
> thanks

That should be simple.

If you're dealing with a backprop NN with 1 hidden layer consisting 3 hidden nodes, and 2 input, then you have some (2x3)+(3x1) = 9 connection weights. Using gatool, you can specify in the Problem section of the GUI, that you have 9 variables. You can lower and/or upper bounds of these weights as you wish.

And then, gatool will do the rest.

Good luck!

Re: Neural Networks and Genetic Algorithm

Greg Heath — Tue, 10 Mar 2009 15:35:06 -0400

On Mar 4, 6:59=A0am, "Akmal Aulia" <akmalt...@yahoo.com> wrote:
> "zaheer ahmad" <ahmad.zah...@yah00000.com> wrote in message <gmv4l2$7i...=
@fred.mathworks.com>...
> > Hi All of You
> > How to optimize Feed ForwardNeuralNetwork output using Genetic Algorith=
m instead of backpropagation Algorithm. i.e. to used GA for weights optimiz=
ation.
> > A small Matlab code will help me alot
> > thanks
>
> That should be simple.
>
> If you're dealing with a backprop NN with 1 hidden layer consisting 3 hid=
den nodes, and 2 input, then you have some (2x3)+(3x1) =3D 9 connection wei=
ghts. =A0Using gatool, you can specify in the Problem section of the GUI, t=
hat you have 9 variables. =A0You can lower and/or upper bounds of these wei=
ghts as you wish.
>
> And then, gatool will do the rest.

The number of weights is

Nw =3D (2+1)*3 + (3+1)*1 =3D 13

Hope this helps.

Greg

Neural Networks and Genetic Algorithm

zaheer ahmad — Wed, 11 Feb 2009 18:16:02 -0500

Hi All of You
How to optimize Feed Forward Neural Network output using Genetic Algorithm instead of backpropagation Algorithm. i.e. to used GA for weights optimization.
A small Matlab code will help me alot
thanks