Neural Network and Fuzzy Logic Applications in C/C++

by Stephen T. Welstead

Using an engineering and science perspective, it explores diverse neural network, fuzzy logic and genetic algorithm techniques plus developing applications best suited for each of the methods discussed. Sample results are described and judgment made as to how well each application worked. The book/disk set includes an object-oriented user interface along with the code for numerous programs.

494 pages, Paperback

First published January 1, 1994

Reviews

[Gil · Rating 2 out of 5]

Whether you dabble with neural networks or need to write a ANN application, this book contains a good mix of theory and example applications with source code.
It'll be a fairly easy read for C/C++ programmers with some hands-on with ANNs. Plug the source in, play and modify.
This book, although dated, still contains some good information.
For newer programmers, there are other more up-to-date and more comprehensive resources available.

Theorists may want to start at the beginning and have a look at underlying Perceptron theory with Adaline/Madaline as found at:
http://www.ece.ubc.ca/~msucu/document...
http://www-isl.stanford.edu/~widrow/p...
http://www-isl.stanford.edu/~widrow/p...