Introduction to Neural Networks for Java, 2nd Edition
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Store Search search Title, ISBN and Author Introduction to Neural Networks for Java, Second Edition by Jeff Heaton Estimated delivery 3-12 business days Format Paperback Condition Brand New 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 backpropagat Find new edition of Introduction to Neural Networks for Java here
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Introduction To Neural Networks With Java
Categories: Java (Computer program language), Neural networks (Computer science)->Handbooks, manuals, etc, Java (Computer program language). Contributors: Jeff T Heaton - Author. Format: Paperback
Heaton Research, Inc. 9781604390087 Introduction to Neural Networks for Java, Second Edition Description Introduction to Neural Networks for Java 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. *Author: Heaton, Jeff *Binding Type: Paperback *Number of Pages: 440 *Publication Date: 2008/09/15 *Language: English *Dimensions: 7.51 x 9.25
"Introduction to Neural Networks for Java" 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.
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 sourc
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