Top Document: comp.ai.neural-nets FAQ, Part 1 of 7: Introduction Previous Document: Where is comp.ai.neural-nets archived? Next Document: May I copy this FAQ? See reader questions & answers on this topic! - Help others by sharing your knowledge If your question is not answered in the FAQ, you can try a web search. The following search engines are especially useful: http://www.google.com/ http://search.yahoo.com/ http://www.altavista.com/ http://citeseer.nj.nec.com/cs Another excellent web site on NNs is Donald Tveter's Backpropagator's Review at http://www.dontveter.com/bpr/bpr.html or http://gannoo.uce.ac.uk/bpr/bpr.html. For feedforward NNs, the best reference book is: Bishop, C.M. (1995), Neural Networks for Pattern Recognition, Oxford: Oxford University Press. If the answer isn't in Bishop, then for more theoretical questions try: Ripley, B.D. (1996) Pattern Recognition and Neural Networks, Cambridge: Cambridge University Press. For more practical questions about MLP training, try: Masters, T. (1993). Practical Neural Network Recipes in C++, San Diego: Academic Press. Reed, R.D., and Marks, R.J, II (1999), Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks, Cambridge, MA: The MIT Press. There are many more excellent books and web sites listed in the Neural Network FAQ, Part 4: Books, data, etc. User Contributions:Top Document: comp.ai.neural-nets FAQ, Part 1 of 7: Introduction Previous Document: Where is comp.ai.neural-nets archived? Next Document: May I copy this FAQ? 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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