Programming Neural Networks with Encog3 in Java

by Jeff Heaton

Encog is an advanced Machine Learning Framework for Java, C# and Silverlight. This book focuses on using the neural network capabilities of Encog with the Java programming language. This book begins with an introduction to the kinds of tasks neural networks are suited towards. The reader is shown how to use classification, regression and clustering to gain new insights into data. Neural network architectures such as feedforward, self organizing maps, NEAT, and recurrent neural networks are introduced. This book also covers advanced neural network training techniques such as back propagation, quick propagation, resilient propagation, Levenberg Marquardt, genetic training and simulated annealing. Real world problems such as financial prediction, classifiction and image processing are introduced.

242 pages, Kindle Edition

First published October 2, 2011

Reviews

[Erlend · Rating 3 out of 5]

Happy to buy the book in order to give the author something back for the nice and free encog java library.

The book itself is unremarkable, and gives a cursory introduction to neural nets. As a special introduction to encog, one would think that javadoc and similar would be more apt.