Introduction to Neural Networks with Java, 1st Edition

Introduction to Neural Networks with Java, 1st Edition
Jeff Heaton | 2010 | ISBN: 097732060X | 380 pages | File type: PDF | 44 mb


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.

Read more: http://www.heatonresearch.com/book/programming-neural-networks-java.html
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