Neural networks are a bio-inspired mechanism of data processing, that enables computers to learn technically similar to a brain and even generalize once solutions to enough problem instances are tought. The manuscript “A Brief Introduction to Neural Networks” is divided into several parts, that are again split to chapters.
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.
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File size: 6.06 MB
Number of pages: 244
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