Introduction to Neural Networks with Java

Introduction to Neural Networks with Java
Author :
Publisher : Heaton Research, Inc.
Total Pages : 440
Release :
ISBN-10 : 9781604390087
ISBN-13 : 1604390085
Rating : 4/5 (085 Downloads)

Book Synopsis Introduction to Neural Networks with Java by : Jeff Heaton

Download or read book Introduction to Neural Networks with Java written by Jeff Heaton and published by Heaton Research, Inc.. This book was released on 2008 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Neural Networks in 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 networks 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, learning mathematical functions and special application to Internet bots. All Java source code can be downloaded online.


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