A17 - Neural Networks

Artificial neural network or simply neural network is a mathematical model that aims to mimic the structural/functional aspect of biological neural networks. So what is the difference between the two? Biological networks aim to explain a complex phenomena using real neurons, forming a circuit, releasing physical signals (voltage action potential)to one another. Artificial neural networks, on the other hand, are purely mathematical and uses artificial neurons instead.

A16 - Probabilistic Classification

Pattern recognition has been an interest of many people in the previous years. Many classification tools have been developed to perform this complex task.

In relation to my previous blog post about pattern recognition using the minimum distance classification, I will show you another tool using Linear Discriminant Analysis which is the process of finding a linear combination of features enabling separation of two or more classes of objects [2].