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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Storing Data in Different Files

You need to place the first 200 lines in a training.dat file (provided for you in the accompanying diskette) and

the subsequent 40 lines of data in the another test.dat file for use in testing. You will read more about this

shortly. There is also more data than this provided on this diskette in raw form for you to do further

experiments.

Training and Testing

With the training data available, we set up a simulation. The number of inputs are 15, and the number of

outputs is 1. A total of three layers are used with a middle layer of size 5. This number should be made as

small as possible with acceptable results. The optimum sizes and number of layers can only be found by much

trial and error. After each run, you can look at the error from the training set and from the test set.