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Programming Neural Networks with Encog 2 in Java
Description
Beginningwhere our introductory neural network programing book left off, thisbook introduces you to Encog. Encog allows you to focus less on theactual implementation of neural networks and focus on how to usethem. Encog is an advanced neural network programming framework thatallows you to create a variety of neural network architectures usingthe Java programming language. Neural network architectures such asfeedforward/perceptrons, Hopfield, Elman, Jordan, Radial BasisFunction, and Self Organizing maps are all demonstrated. This bookalso shows how to use Encog to train neural networks using a varietyof means. Several propagation techniques, such as back propagation,resilient propagation (RPROP) and the Manhattan update rule arediscussed. Additionally, training with a genetic algorithm andsimulated annealing is discussed as well. You will also see how toenhance training using techniques such as pruning and hybridtraining.
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