Introduction to Neural Networks for Java, 2nd Edition by Jeff Heaton

Introduction to Neural Networks for Java, 2nd Edition Author: Jeff Heaton
eBook Title: Introduction to Neural Networks for Java, 2nd Edition
ISBN10: 1604390085
ISBN13: 978-1604390087
Language: English
Publisher: Heaton Research, Inc.; 2 edition (October 1, 2008)
Category: Computers & Technology
Subcategory: Computer Science
Size ePub vers.: 1271 kb
Size PDF vers.: 1504 kb
Other formats: cb7, odf, pdf, azw, ibooks, mobi
Rating: 4.0
Votes: 498
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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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