Introduction to Neural Networks for Java, Second Edition
Introduction to Neural Networks for Java, Second Edition
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Introduction to Neural Networks for Java, Second Edition by Jeff Heaton
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.
Jeff Heaton is the author of four books and more than two dozen articles, a college instructor, and a consultant. He teaches introductory and advanced Java at St. Louis Community College at Meramec. His specialty is in Internet, socket-level/spidering, and artificial intelligence programming. Many examples and tutorials can be found at his web site at http: //www.jeffheaton.com. Jeff is a Sun Certified Java Programmer, a member of the IEEE, and holds a master's degree in Information Management from Washington University in St. Louis. His client list has included MasterCard, Anheuser-Busch, and Boeing.
| SKU | Unavailable |
| ISBN 13 | 9781604390087 |
| ISBN 10 | 1604390085 |
| Title | Introduction to Neural Networks for Java, Second Edition |
| Author | Jeff Heaton |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Heaton Research, Inc. |
| Year published | 2008-09-15 |
| Number of pages | 440 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |