Programming Neural Networks with Encog3 in Java (Jeff Heaton)

 
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Programming Neural Networks with Encog3 in Java (Jeff Heaton)

Encog is a cutting-edge machine learning framework for Silverlight, Java, and C#. This book focuses on using Java programming with Encog's neural network capabilities. The introduction to the tasks that neural networks are best suited for is the first chapter of this book.

It is demonstrated to the reader how classification, regression, and clustering can be used to learn new things about the data. We introduce several types of neural network topologies, including feedforward, self-organizing maps, NEAT, and recurrent neural networks.

Advanced neural network training methods such as simulated annealing, backpropagation, rapid propagation, resilient propagation, Levenberg-Marquardt, and genetic training are also covered in this book. We introduce current issues including financial forecasting, classification, and image processing.

Ebook Details

Author(s)
About the Authors
An author, college professor, and consultant, Jeff Heaton. Jeff resides in Chesterfield, Missouri (St. Louis). Jeff is an expert in programming for the Internet, socket-level/spidering, and artificial intelligence. He is the author of seven books and more than twenty journal and magazine articles. Among the businesses Jeff has worked with are MasterCard, Anheuser-Busch, and Boeing. a Senior Member of the IEEE and a Java Programmer with Sun Certification. Jeff has an information management master's degree from Washington University in St. Louis.
Published
Published Date / Year
(October 25, 2011)
Hardcover
240 pages
eBook Format
PDF (242 pages)
ISBN-10
1604390212
ISBN-13
978-1604390216

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