Introduction to Neural Networks with Java

Author : Jeff Heaton
ISBN : 097732060X
Pages : 380
Publisher : Heaton Research, Inc.
Publication Date : November 2005

Excerpts from the Book Description:

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. Examples include 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.

Reviews:

Amazon.com

"I recommend this book for anyone interested in learning AI and also experienced programmers alike. The author makes though topics seem easy. Highly recommended."

"Overall there is a bit of deception, but indeed the book does what its title says : it is really just an "introduction" to Neural Networks with Java and nothing more. I would recommend it to somebody seeking to embrace the field and who is really a beginner in the domain."

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