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

Previous Table of Contents Next

Outputs

The output from some neural networks is a spatial pattern that can include a bit pattern, in some a binary

function value, and in some others an analog signal. The type of mapping intended for the inputs determines

the type of outputs, naturally. The output could be one of classifying the input data, or finding associations

between patterns of the same dimension as the input.

The threshold functions do the final mapping of the activations of the output neurons into the network

outputs. But the outputs from a single cycle of operation of a neural network may not be the final outputs,

since you would iterate the network into further cycles of operation until you see convergence. If convergence

seems possible, but is taking an awful lot of time and effort, that is, if it is too slow to learn, you may assign a

tolerance level and settle for the network to achieve near convergence.