Neural Net Overview

This chapter gives general information on neural networks. Besides the introduction of several neural net types, the different learning algorithms, suitable for the different net types, are also explained.


The chapter is divided into the following sections:

What are neural nets?

» The biological model: The human brain

» The components of a neural net

» What they can and where they fail


Types of neural nets

» Perceptron

» Multi-Layer-Perceptron

» Backpropagation

» Net Hopfield Net

» Kohonen Feature Map


The learning process

» What does "learning" mean refering to neural nets?

» Supervised and unsupervised learning

» Forwardpropagation

» Backpropagation

» Selforganization

Neural Net Components in an Object Oriented Class Structure