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Programming Neural Networks with Encog3 in C#, 2nd Edition

Programming Neural Networks with Encog3 in C#, 2nd Edition
Programming Neural Networks with Encog3 in C#, 2nd Edition
Jeff Heaton
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Introduction to Neural Networks for C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced. Practical examples are given for each neural network. Examples include the traveling salesman problem, handwriting recognition, financial prediction, game strategy, mathematical functions, and Internet bots. All C# source code is available online for easy downloading.

Table of Contents

*The book ends with chapter 14, which discusses the future of neural networks, quantum computing, and how it applies to neural networks. The Encog neural network framework is also introduced.