Neural Network Pattern Recognition - Network Training Issue,

Hi every one,

I am trying to build up a neural network for power system fault analysis ... In first step in training the network I have got many problems,

The major one is that training doesn't get start at all! it says PERFORMANCE GOAL MET or rarely GRADIENT MIN REACHED !

Does any one know whats wrong or how can I fix this? I am new with neural networks and I am using mainly the toolbox GUI and partially coding to gradually learn.

Any help is really appreciated, Bests, Pooria

[papoo]

I am still working on this issue comparing my arrays of input with ToolBox examples. I guess there is some thing wrong with my data so iteration doesn't start as it meets the 1. Performance goal (Probably Least Square Error) 2. Gradient Limit. Hence it Do Not start the iterations. While I also tried changing the performance goal using the code: net.trainParam.goal = 1e-12;

But it didn't work.

Any helps or suggestions are really appreciated.

[Greg Heath]

I cannot help unless you post command line code and results using one of the MATLAB nndatasets.

help nndatasets

Greg

[papoo]

Thank you Greg for your response. Fortunately I just solved it. There were a problem with my data arrays.

Thanks,

[Greg Heath]

Comment by Nelson Chow about 5 hours ago

 (Moved from ANSWER block by Greg & lost his address

...SORRY !!!)

> Got the same problem. How did you solve this > problem and what problem with your data array?