I followed the Artificial Neural Networks module as part of my Computational Intelligence and Robotics course at De Montfort University. The course was lectured by David Elizondo and Shang-Ming Zhou and covered different types of ANNs. This page summarizes some content.

An artificial neural network (ANN), often just called a "neural network" (NN), is a mathematical model or computational model based on biological neural networks. It consists of an interconnected group of artificial neurons and processes information using a connectionist approach to computation. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase. (Wikipedia, 2008)


Artificial Neural Networks and Fuzzy Systems.

RDP - Recursive Deterministic Perceptron.