Introduction To Neural Networks With Java

 Introduction to Neural Networks with Java Text fb2 ebook

Introduction to Neural Networks in Java introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward backpropagation, Hopfield, and Kohonen networks are discussed. Additional AI topics, such as Genetic Algorithms and Simulated Annealing, are also introduced. Practical examples are given for each neural network. Exa...

Paperback: 380 pages
Publisher: Heaton Research, Inc. (November 25, 2005)
Language: English
ISBN-10: 097732060X
ISBN-13: 978-0977320608
Product Dimensions: 7.5 x 0.8 x 9.2 inches
Amazon Rank: 4329527
Format: PDF ePub fb2 djvu book

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I bought this book based on the strength of the other reviews. The free neural net engine, JOONE, that the book is based on is no longer supported or available. There are JOONE downloads available but I couldn't get it working on Windows 7 and I'm a ...



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de the Traveling Salesman problem, handwriting recognition, fuzzy logic and learning mathematical functions. All Java source code can be downloaded online. In addition to showing the programmer how to construct these neural networks, the book discusses the Java Object Oriented Neural Engine (JOONE). JOONE is a free open source Java neural engine.