neural network trained using partical swarm optimization

Hello

in order to resolve some constraints optimization problem, i use neural network trained by pso algorithm.

to this end i try to simulate the matlab code proposed in:

https://www.researchgate.net/publication/305325563_Codes_in_MATLAB_for_Training_Artificial_Neural_Network_using_Particle_Swarm_Optimization

however, it generate the following error:

 Error using network/subsasgn>network_subsasgn (line 551)
net.IW{1,1} must be a 10-by-3 matrix.

 Error in network/subsasgn (line 11)
net = network_subsasgn(net,subscripts,v,netname);

 Error in myfunc (line 18)
net.iw{1,1}=xi; % net.inputWeights{1,1}

 Error in rnn_pso>@(x)myfunc(x,n,m,o,net,inputs,targets)

 Error in rnn_pso (line 37)
        f0(i,1)=fun(x0(i,:));

the size of used data: 150x7 input, 150x3 target.

how can i overcome it?

Did you already test this code? othwhise, i can post the code for do it.

[Sree Ranjini]

Hello,

Did you get the solution for the problem . I am also facing the same problem. I have used the same code https://www.researchgate.net/publication/305325563_Codes_in_MATLAB_for_Training_Artificial_Neural_Network_using_Particle_Swarm_Optimization

[M N Alam]

Hi,

Your dataset seems to be problematic. Kindly, put your dataset in the original datafile uploaded with the article. Surely, this will fix the problem as one person faced the similar problem. Thanks

[BERGHOUT Tarek]

i used the same code but it works perfectly for any dataset that i used; just check this parameters number of neurons in the hidden layer; nulmber of inputs ; number of outputs ;

[ERJEW AYEL D]

BERGHOUT Tarek,

Dear,

Could you please tell me how to adjust the output neurons! for example, I have 8 output variables so that the output layer contains 8 neurons!

Thank you in advance!

Answer 1

[Greg Heath]

You should have

[ I N ] = size(input) = [ 7 150]

[ O N ] = size(target) = [ 3 150 ]

Hope this helps.

Thank you for formally accepting my answer

Greg