Programming Neural Networks with Encog2 in C# [Paperback]

Jeff Heaton (Author)

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Product Details

Paperback: 496 pages
Publisher: Heaton Research, Inc. (March 2010)
Language: English
ISBN-10: 1604390107
ISBN-13: 978-1604390100
Product Dimensions: 23.1 x 18.5 x 2.8 cm
Shipping Weight: 816 g
Amazon Bestsellers Rank: #802,220 in Books (See Top 100 in Books)
- #50 in Books > Computers & Internet > Certification Central > Java
- #50 in Books > Computers & Internet > Certification Central > Exams > Java

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Product Description

Beginning where our introductory neural network programing book left off, this book introduces you to Encog. Encog allows you to focus less on the actual implementation of neural networks and focus on how to use them. Encog is an advanced neural network programming framework that allows you to create a variety of neural network architectures using the C# programming language. Neural network architectures such as feedforward/perceptrons, Hopfield, Elman, Jordan, Radial Basis Function, and Self Organizing maps are all demonstrated. This book also shows how to use Encog to train neural networks using a variety of means. Several propagation techniques, such as back propagation, resilient propagation (RPROP) and the Manhattan update rule are discussed. Additionally, training with a genetic algorithm and simulated annealing is discussed as well. You will also see how to enhance training using techniques such as pruning and hybrid training.