I am usinf Artificial Neural network in my work to predict a model that can be used same experiments information to predict new results with less error ratio in comparison to experimental and theoretical ones.
I have done some work and got results but the error ratio is still high.
If you can help me or you know any one how is doing this work please send me back on my email, firstname.lastname@example.org
I suspect the problem Rita and Michael were having is that their data describes a decreasing logistic and the program is set up to do an increasing logistic. I just uploaded a non-GUI fit_logistic function and at first it failed with Rita's data, too. Fortunately, it is an easy fix by making the time series negative.
I'd like to test out your addin but i get the following error in Matlab 2012a
??? Error using ==> trainpso at 54
Error in ==> network.subsasgn>setTrainFcn at 2016
net.trainParam = feval(trainFcn,'defaultParam');
Error in ==> network.subsasgn>network_subsasgn at 462
if isempty(err), [net,err]=setTrainFcn(net,trainFcn); end
Error in ==> network.subsasgn at 11
net = network_subsasgn(net,subscripts,v,netname);
Error in ==> NN_training_demo at 20
net.trainFcn = 'trainpso'; %set the NN training function to use a PSO approach.
The name 'trainpso' is used for consistency with previous research (B. Birge,
How to fix this error?