Computational Intelligence

chapter

six

Neural Network Implementations

This chapter presents four neural network

implementations: back-propagation neu-

ral networks, the learning vector quan-

tizer, Kohonen’s self-organizing feature

map networks, and evolutionary multilayer

perceptron neural networks. Executable

code and source code for each implemen-

tation, together with other useful utilities,

are available on the book’s web site.

The source code is particularly useful for

studying the implementation details of the

neural network paradigms and if you wish

to make changes to the code for your appli-

cations.

The source code is written in C and

is being distributed as shareware. You are

welcome to use it for classroom or per-

sonal learning in conjunction with the text-

book at no cost. ...