Introduction to Neural Networks for C#, 2nd Edition

 Introduction to Neural Networks with 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.

Title Introduction to Neural Networks for C#, 2nd Edition
Author(s) Jeff Heaton
Publisher: Heaton Research, Inc.; 2 edition (November 30, 2008)
Paperback 428 pages
Language: English
ISBN-10: 1604390093
ISBN-13: 978-1604390094
eBook: http://www.heatonresearch.com/wiki/Introduction_to_Neural_Networks_Course