I have a problem with a step, in the ANN-Genetic Algorithm optimisation.

% INITIALIZE THE NEURAL NETWORK PROBLEM %

% inputs for the neural net(AND gate example== 2 inputs && 4 samples)

clc

clear

close all

data1=xlsread('base');

data1=data1' ;

inputs = data1(1:4,:); % Les entres

targets =data1 (5:7,:); % Les sorties

% number of neurons

n = 8;

% create a neural network

net = feedforwardnet(n);

% configure the neural network for this dataset

net = configure(net, inputs, targets);

% get the normal NN weights and bias

getwb(net)

% error MSE normal NN

error = targets - net(inputs);

calc = mean(error.^2)/mean(var(targets',1))

% create handle to the MSE_TEST function, that

% calculates MSE

h = @(x) NMSE(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('PopInitRange', [-1;1], 'TolFun', 1e-10,'display','iter');

ga_opts = gaoptimset(ga_opts, 'StallGenLimit', 100, 'FitnessLimit', 1e-5, 'Generations', 50);

% PLEASE NOTE: For a feed-forward network

% with n hidden neurons, 3n+n+1 quantities are required

% in the weights and biases column vector.

% a. n for the input weights=(features*n)=2*n

% b. n for the input biases=(n bias)=n

% c. n for the output weights=(n weights)=n

% d. 1 for the output bias=(1 bias)=1

% running the genetic algorithm with desired optionsb

[x, err_ga] = ga(h, 2*n+n+n+1, ga_opts); %(the broblem is here)

net = setwb(net, x');

% get the GA optimized NN weights and bias

getwb(net)

% error MSE GA optimized NN

error = targets - net(inputs);

calc = mean(error.^2)/mean(var(targets',1))

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Command Window

Index exceeds matrix dimensions.

Error in separatewb (line 34)

iw{i,j} = reshape(wb(hints.iwInd{i,j}),...

Error in setwb (line 23)

[b,IW,LW] = separatewb(net,wb,hints);

Error in NMSE (line 7)

net = setwb(net, wb');

Error in @(x)NMSE(x,net,inputs,targets)

Error in createAnonymousFcn>@(x)fcn(x,FcnArgs{:}) (line 11)

fcn_handle = @(x) fcn(x,FcnArgs{:});

Error in makeState (line 47)

firstMemberScore = FitnessFcn(state.Population(initScoreProvided+1,:));

Error in gaunc (line 40)

state = makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);

Error in ga (line 356)

[x,fval,exitFlag,output,population,scores] = gaunc(FitnessFcn,nvars, ...

Error in main (line 50)

[x, err_ga] = ga(h, 2*n+n+n+1, ga_opts);

Caused by:

Failure in initial user-supplied fitness function evaluation. GA cannot continue.

[ikeuwanuakwa]

[x, err_ga] = ga(h, 2*n+n+n+1, ga_opts); %(the broblem is here)

change the 2 in 2*n+n+n+1 to be greater than the number of input parameter.

For example 8*n+n+n+1.... for input less than or equal to 8.