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Top Document: comp.ai.neural-nets FAQ, Part 1 of 7: Introduction Previous Document: Where can I find a simple introduction to NNs? Next Document: What can you do with an NN and what not? See reader questions & answers on this topic! - Help others by sharing your knowledge Kevin Gurney has on-line a preliminary draft of his book, An Introduction to Neural Networks, at http://www.shef.ac.uk/psychology/gurney/notes/index.html The book is now in print and is one of the better general-purpose introductory textbooks on NNs. Here is the table of contents from the on-line version: 1. Computers and Symbols versus Nets and Neurons 2. TLUs and vectors - simple learning rules 3. The delta rule 4. Multilayer nets and backpropagation 5. Associative memories - the Hopfield net 6. Hopfield nets (contd.) 7. Kohonen nets 8. Alternative node types 9. Cubic nodes (contd.) and Reward Penalty training 10. Drawing things together - some perspectives Another on-line book by Ben Kröse and Patrick van der Smagt, also called An Introduction to Neural Networks, can be found at ftp://ftp.wins.uva.nl/pub/computer-systems/aut-sys/reports/neuro-intro/neuro-intro.ps.gz or http://www.robotic.dlr.de/Smagt/books/neuro-intro.ps.gz. or http://www.supelec-rennes.fr/acth/net/neuro-intro.ps.gz Here is the table of contents: 1. Introduction 2. Fundamantals 3. Perceptron and Adaline 4. Back-Propagation 5. Recurrent Networks 6. Self-Organising Networks 7. Reinforcement Learning 8. Robot Control 9. Vision 10. General Purpose Hardware 11. Dedicated Neuro-Hardware User Contributions:Top Document: comp.ai.neural-nets FAQ, Part 1 of 7: Introduction Previous Document: Where can I find a simple introduction to NNs? Next Document: What can you do with an NN and what not? Part1 - Part2 - Part3 - Part4 - Part5 - Part6 - Part7 - Single Page [ Usenet FAQs | Web FAQs | Documents | RFC Index ] Send corrections/additions to the FAQ Maintainer: saswss@unx.sas.com (Warren Sarle)
Last Update March 27 2014 @ 02:11 PM
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