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Reading Guide to AI design, neural networks, etc. 1

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Raistlin84
Raistlin84 writes "I'm a PhD student in theoretical physics, but recently I got quite interested in AI design. During my high school days I spend most of my spare time coding various stuff, so I've a good working knowledge of the most important application programming languages (C/C++, Pascal/Delphi, Assembler) and how a computer works internally. Recently I was gifted the book "On Intelligence" where Jeff Hawkins describes numerous interesting ideas how to actually design a brain. As I have no formal background in computer science, I would like to broaden my knowledge in the direction of neural networks, pattern recognition etc. but do not really know where to start reading. Due to my background I figure that the "abstract" theory would be mostly suited for me, so I would like to ask for a few book suggestions or other directions."
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Reading Guide to AI design, neural networks, etc. More

Reading Guide to AI design, neural networks, etc.

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  • "Introduction to Neural Networks" by K. Gurney was a pretty good introduction. It clearly presented the biological and mathematical basis for NNWs without stinting on the maths side (e.g. it gives derevations of learning algorithms). I used it heavily in my master's dissertation(using a NNW to control a virtual game-playing tank). There is lots of good material in the Internet. The article at http://www.codeproject.com/KB/recipes/aforge_neuro.aspx/ [codeproject.com] gives a good introduction, additionally it provides a .net

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