Introduction
This article is Part 1 of a series of 3 articles that I am going to post. The proposed article content will be as follows:
Part 1: This one, will be an introduction into Perceptron networks (single layer neural networks)
Part 2: Will be about multi layer neural networks, and the back propogation training method to solve a non-linear classification problem such as the logic of an XOR logic gate. This is something that a Perceptron can't do. This is explained further within this article
Part 3: Will be about how to use a genetic algorithm (GA) to train a multi layer neural network to solve some logic problem
Let's start with some biology
