How to optimize patternnet using a genetic algorithm

This is how to optimize weights of feedforwardnet but I dont know how to do this for about patternnet please help

function mse_calc = mse_test(x, net, inputs, targets)
% 'x' contains the weights and biases vector
% in row vector form as passed to it by the
% genetic algorithm. This must be transposed
% when being set as the weights and biases
% vector for the network.

% To set the weights and biases vector to the
% one given as input
net = setwb(net, x');

% To evaluate the ouputs based on the given
% weights and biases vector
y = net(inputs);

% Calculating the mean squared error
mse_calc = sum((y-targets).^2)/length(y);

end

The following code example describes a script that sets up a basic Neural Network problem and the definition of a function handle to be passed to GA. It uses the above function to calculate the Mean Squared Error.

% INITIALIZE THE NEURAL NETWORK PROBLEM %

% inputs for the neural net
inputs = (1:10);
% targets for the neural net
targets = cos(inputs.^2);

% number of neurons
n = 2;

% create a neural network
net = feedforwardnet(n);

% configure the neural network for this dataset
net = configure(net, inputs, targets);

% create handle to the MSE_TEST function, that
% calculates MSE
h = @(x) mse_test(x, net, inputs, targets);

% Setting the Genetic Algorithms tolerance for
% minimum change in fitness function before
% terminating algorithm to 1e-8 and displaying
% each iteration's results.
ga_opts = gaoptimset('TolFun', 1e-8,'display','iter');

% PLEASE NOTE: For a feed-forward network
% with n neurons, 3n+1 quantities are required
% in the weights and biases column vector.
%
% a. n for the input weights
% b. n for the input biases
% c. n for the output weights
% d. 1 for the output bias

% running the genetic algorithm with desired options
[x_ga_opt, err_ga] = ga(h, 3*n+1, ga_opts);

[Randy Souza]

I have restored the original text of this question.

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[aleksandar]

Hello, I'm new to this field and I'm sorry if my question is not appropriate, I would like to ask is it possible to modify this mse_calc function, so it can be used for the matrix of inputs not for the row, in that way there is much more weights (neurons *columns)? Best Regards

Answer 1

[Greg Heath]

See my three replies to your question in this Newsgroup thread: ga optimization of nn weights

Hope this helps.

Thank you for formally accepting my answer!!!

Greg

[RAJA SEKHAR BATTU]

@Greg Heath Hi Greg, this link doesn't work. can you please provide any other link or answer.

Thanks in advance.

Best wishes,

Raja