
www.Usenet.com
| <-- __Chronological__ --> | <-- __Thread__ --> |
I built a recursive training process that calculates the total error for all the points to predict (simple sum of square of errors) and store the weights in a text file, then go for a new training (allways using the same training pairs), if this give less error then replace the weights file, if not then go for a new training. At training 654 the program stops for insuficient memory, (I think I should clean memory for each training but don't know how to do this in visual basic). I've got better results than those obtained with the non linear regresion of the Excel's solver (half the error of this). Now it is time to add a new recursive loop to change the number of hidden nodes and run the above process for every network arquitecture, graph the results and see what we got. Thanks for the feedback Manolo
| <-- __Chronological__ --> | <-- __Thread__ --> |