Introduction to Neural Networks for Java, Second EditionPaperback
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- Publisher: Heaton Research, Inc.
- Format: Paperback | 440 pages
- Dimensions: 191mm x 229mm x 25mm | 726g
- Publication date: 30 September 2008
- ISBN 10: 1604390085
- ISBN 13: 9781604390087
- Edition: 2
- Edition statement: 2nd
- Illustrations note: black & white illustrations
- Sales rank: 454,832
Introduction to Neural Networks for 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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