C++ Neural Networks and Fuzzy Logic: Preface

C++ Neural Networks and Fuzzy Logic

by Valluru B. Rao

MTBooks, IDG Books Worldwide, Inc.

ISBN: 1558515526   Pub Date: 06/01/95

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Operation

The first thing to do with your simulator is to train a network with an architecture you choose. You can select

the number of layers and the number of hidden layers for your network. Keep in mind that the input and

output layer sizes are dictated by the input patterns you are presenting to the network and the outputs you seek

from the network. Once you decide on an architecture, perhaps a simple three−layer network with one hidden

layer, you prepare training data for it and save the data in the training.dat file. After this you are ready to train.

You provide the simulator with the following information: