Programming Neural Networks with Encog 2 in Java

Programming Neural Networks with Encog 2 in Java
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Programming Neural Networks with Encog 2 in Java Description

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The beginning was our first book left neural network programming, this book introduces you Encog. Encog enables 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 makes it possible for you to generate a variety of architectures of neural networks making use of the Java programming language. Neural network architectures such as feedforward / Perceptron is Hopfield, Elman, Jordan, the Radial Basis Function, and self-organization of all the cards shown. This book also shows how to use Encog to train the neural network with a variety of ways. Many techniques of propagation, such as the spread of return arise propagation (RPROP) and Rule Manhattan updating is discussed. In addition, training with a genetic algorithm and simulated annealing are also discussed. You’ll also see how to increase education by employing tactics such as cropping and hybrid training. Programming Neural Networks with Encog 2 in Java

\n\nProgramming Neural Networks with Encog 2 in Java Ebook

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