Introduction to Neural Networks for Java, Second Edition

Submitted by jeffheaton on Fri, 09/12/2008 - 13:06

Introduction to Neural Networks with Java, Second Edition, introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced. Practical examples are given for each neural network. Examples include the traveling salesman problem, handwriting recognition, financial prediction, game strategy, mathematical functions, and Internet bots. All Java source code is available online for easy downloading.

Comments

Thanks for the information. I

Submitted by grouse003 on Sun, 02/14/2010 - 02:44.

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Source Code

Submitted by james.hopkins on Thu, 11/12/2009 - 13:42.

Hello, I purchased the book and am very proficient in java. However, I'm just confused on how to use the library. As most of the code is source I'm having troubles trying to get a proper compiling. Is there a particular setup or environment variables and such that need to be run through in order for me to correctly compile. As of now, I've simply gone through the trouble of trying to figure out the packing and compile the classes one by one, but it gets stuck somewhere in self organizing maps area where the enum command is called. Unless I'm blind, I haven't seen anything in the readme that gave any help on this.

Any help is appreciated as I trully enjoy the book but I want to be able to run and understand the source as well.