ENGLISH

Programming Neural Networks with Encog 2 in Java

By Jeff Heaton

Book information

Publisher
Inc., Heaton Research
Year
2010
ISBN
1604390077, 9781604390070
Language
english
Format
PDF
Filesize
4 MB (3775532 bytes)
Pages
481\481
Scanned
yes
Time added
2012-03-17 06:00:00
Информатика и вычислительная техника;Искусственный

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 Java 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.

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