Introduction To Neural Networks For C#, 2nd Edition

Introduction To Neural Networks For C#, 2nd Edition

by Jeff Heaton
     
 

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…  See more details below

Overview

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.

Product Details

ISBN-13:
9781604390094
Publisher:
Heaton Research
Publication date:
10/02/2008
Pages:
432
Sales rank:
1,030,680
Product dimensions:
7.50(w) x 9.25(h) x 0.88(d)

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