Analysis of biological neuron and training of an artificial neuron for a neural processor construct

The basic idea behind a neural processor is to simulate lots of densely interconnected artificial neuron inside a computer so you can get it to learn things, recognize patterns, and make decisions in a humanlike way. The best thing about a neuron processor is that you don’t have to program it to learn explicitly: it learns all by itself, just like a brain. In this paper analysis of biological neurons are made to make a successful artificial neural processor that can be used in robots for analyzing the problem in detail by itself. Automatic training of neuron network is also been performed including data analysis with an example.