A Brief Introduction to Neural Networks
By: In remembrance of Dr. Peter Kemp, Notary (ret.), Bonn, Germany
Publisher: http://www.dkriesel.com
Published: 2007
Place of publication: http://www.dkriesel.com
Language: eng; ger
Format: E-Book
Number of pages: 244
Table of contents: title: Part I: From Biology to Formalization -- Motivation, Philosophy, History and Realization of Neural Models; title: Introduction, Motivation and History; title: Biological Neural Networks; title: Components of Artificial Neural Networks; title: How to Train a Neural Network?; title: -----; title: Part II: Supervised learning Network Paradigms; title: The Perceptron; title: Radial Basis Functions; title: Recurrent Multi-layer Perceptrons; title: Hopfield Networks; title: Learning Vector Quantisation; title: -----; title: Part III: Unsupervised learning Network Paradigms; title: Self Organizing Feature Maps; title: Adaptive Resonance Theory; title: ----; title: Part IV: Excursi, Appendices and Registers; title: Cluster Analysis and Regional and Online Learnable Fields; title: Neural Networks Used for Prediction; title: Reinforcement Learning