Introduction to Neural Networks for Java, Second Edition by Jeff Heaton

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	Nicht verfügbar
ISBN 13	9781604390087
ISBN 10	1604390085
Titel	Introduction to Neural Networks for Java, Second Edition
Autor	Jeff Heaton
Buchzustand	Nicht verfügbar
Bindungsart	Paperback
Verlag	Heaton Research, Inc.
Erscheinungsjahr	2008-09-15
Seitenanzahl	440
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis	Nicht verfügbar