人工智能网络资源-优快云博客

博客收集了人工智能网络资源，介绍了《人工智能模式识别基础》教材，强调了神经网络等新方法及符号方法的关联，还提及为读者和学生提供神经网络算法的代码、二进制文件和示例，程序适用于Unix和DOS等系统。

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收集的人工智能网络资源

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http://www.mathtools.net/

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Matlab and Neural Network Toolbox Tutorial

Henrik Jacobsson, Nicklas Bergfeldt and Simon Lundell
henrikj@ida.his.se , nicklas@ida.his.se and simon@ida.his.se

November 26, 2001

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The Pattern Recognition Basis of Artificial Intelligence

The Pattern Recognition Basis of Artificial Intelligence is my introduction to AI textbook. It emphasizes some of the newer methods: neural networking, case based and memory based methods while still covering the important symbolic methods and showing how they are all related. It also emphasizes the problems involved in producing systems with human levels of performance.

The book is available from Wiley and Amazon.com.

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The Pattern Recognition Basis of AI

Neural Networking Software

When I started writing my textbook, The Pattern Recognition Basis of Artificial Intelligence I learned the neural network algorithms by programming them. For the benefit of readers of my book and for students in general the code, binaries and examples for these algorithms are available here. All the programs have a command line (non-GUI) interface plus the backprop programs have a GUI interface. The source is suitable for Unix and DOS, there are 16-bit DOS binaries (uses hardware floating point) for all the programs and a Windows 3.1 binary for backprop. The newest Unix version requires the free Tcl/Tk package.

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