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Synopsis
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.
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About the Author
Jeff Heaton is an author, college instructor, and consultant. Jeff lives in Chesterfield (St. Louis), Missouri. The author of seven books and over two dozen journal and magazine articles, Jeff specializes in Internet, socket-level/spidering and Artificial Intelligence programming. Jeff has worked with companies such as MasterCard, Anheuser-Busch and Boeing. A Sun Certified Java Programmer and a Senior Member of the IEEE. Jeff holds a Masters Degree in Information Management from Washington University in St. Louis.
"About this title" may belong to another edition of this title.
- PublisherHeaton Research, Incorporated
- Publication date2008
- ISBN 10 1604390085
- ISBN 13 9781604390087
- BindingPaperback
- LanguageEnglish
- Edition number2
- Number of pages440
- Rating
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Introduction to Neural Networks with Java, 2nd Edition
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Introduction to Neural Networks with Java, 2nd Edition
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