Introduction to Neural Networks with Java ebook download Jeff T. Heaton

Introduction to Neural Networks with Java

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.

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Title of ebook: Introduction to Neural Networks with Java
ISBN: 9780977320639
parent-ISBN: 9780977320608
Publisher: Heaton Research, Inc.
Published: 07-2006
Released online for download: 07-18-2006
Author of eBook: Heaton, Jeff T.

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