millionairepolar

Hi, I would like to use Matlab ANN Toolbox to train a backpropagation network. I have my algorithm works in C#; but I would still like to do a simulation in Matlab to find the best number of neurons for the hidden layer. I am using a 3-layers network; with 200 inputs, 10 hidden neurons and two output neurons. However, I have very limited experience with ANN Toolbox; so could someone help me getting start? I tried the nnstart but it only has 1 output in the network; so that didn't help me much. I have my test data stored in text file. Which I can readily load into ANN. Izotope Phatmatik Pro Serial Number.

A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm Martin Riedmiller Heinrich Braun Institut fur Logik, Komplexitat und Deduktionssyteme. Most of the principles of backpropagation are the same as in the other networks, but we now have to specify the number of layers, the number of input nodes.

Three examples of my sample code obtained from Answers using the two search words: heath ntrial A1. 25 Oct 2012 Neural Network Output Problem Asked by Younes Jafari A2. 21 Aug 2012 How can I forecast an integer related to other 5 numbers?Asked by Mehdi Abbassi A3 1 Apr 2012 Neural Network help Asked by Amjad ============================================================================= Six examples of my sample code obtained from the Newsgroup using the two search words: heath ntrial N1. 27 Oct 2012 Neural Network training problem Greg Heath 4 725 N2. 8 Apr 2012 FULL ADDER using neural network Greg Heath full adder, neural networks 6 951 N3.