C++ Neural Networks and Fuzzy Logic: Preface


C++ Neural Networks and Fuzzy Logic



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C neural networks and fuzzy logic

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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Comments on Your C++ Program

Notice the use of input stream operator cin>> in the C++ program, instead of the C function scanf in several

places. The iostream class in C++ was discussed earlier in this chapter. The program works like this:

First, the network input neurons are given their connection weights, and then an input vector is presented to

the input layer. A threshold value is specified, and the output neuron does the weighted sum of its inputs,

which are the outputs of the input layer neurons. This weighted sum is the activation of the output neuron, and

it is compared with the threshold value, and the output neuron fires (output is 1) if the threshold value is not

greater than its activation. It does not fire (output is 0) if its activation is smaller than the threshold value. In

this implementation, neither supervised nor unsupervised training is incorporated.


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