A Brief Introduction to Neural Networks

A Brief Introduction to Neural Networks

Topics included: Introduction, Motivation and History • Biologische Neuronale Netze • Components of Artificial Neural Networks • How to Train a Neural Network? • The Perceptron • Radial Basis Functions • Recurrent Multi-layer Perceptrons • Hopfield Networks • Learning Vector Quantisation • Self Organizing Feature Maps • Adaptive Resonance Theory • Cluster Analysis and Regional and Online Learnable Fields • Neural Networks Used for Prediction • Reinforcement Learning.