Error index exceeds matrix dimensions why? Matlab 2016a

input = 4*54 double target = 1*54 double *******************

% INITIALIZE THE NEURAL NETWORK PROBLEM\ %
% inputs for the neural net
inputs =input;
% targets for the neural net
targets =target;
% number of neurons
n = 4;
% 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,'MutationFcn', {@mutationuniform, 0.2}, ...
'CrossoverFraction',0.6,'PopulationSize',10,'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);
%
% codefunction 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

*****************************************

>> Weight
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 mse_test (line 9)
net = setwb(net, x');

Error in Weight>@(x)mse_test(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 371)
            [x,fval,exitFlag,output,population,scores] = gaunc(FitnessFcn,nvars, ...

Error in Weight (line 30)
[x_ga_opt, err_ga] = ga(h, 3*n+1, ga_opts);

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

>>

[Marc Youcef]

Hello, I have exact similar error without being able to understand where it could come from ... Did you find any way to go through?

[Mani S]

Have you got the answer Marc Youcef

Answer 1

[Greg Heath]

The Support group example is only for single inputs.

See my version for multiple inputs.

Hope this helps

Thank you for formally accepting my answer

Greg

[zain yousaf]

sir i cannot find your version for multiple i/o please give us the link.