Programming Neural Networks with Encog3 in Java
by Jeff Heaton
Publisher: Heaton Research 2011
Number of pages: 242
The book 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.
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by Mark Watson - Lulu.com
The book uses the author's libraries and the best of open source software to introduce AI (Artificial Intelligence) technologies like neural networks, genetic algorithms, expert systems, machine learning, and NLP (natural language processing).
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This book documents how to carry out safe, flexible, portable and free programming of embedded systems, such that the software without modifications can run on both small embedded devices as well as on standard Java platform.
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