Introduction to Neural Networks for C#, 2nd Edition (Jeff Heaton)

 
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Introduction to Neural Networks for C#, 2nd Edition (Jeff Heaton)

The second edition of Introduction to Neural Networks with C# introduces C# programmers to the field of artificial intelligence and neural networks. The feedforward, Hopfield, and self-organizing map topologies of neural networks are addressed.

Additionally covered are training methods including backpropagation, genetic algorithms, and simulated annealing. Each neural network has instances that are applicable in real life. The "traveling salesman" issue, handwriting recognition, financial forecasting, game strategy, mathematical operations, and Internet bots are a few examples. Online downloads of all C# source codes are simple to find.

Ebook Details

Author(s)
About the Authors
An author, college professor, and consultant, Jeff Heaton. Jeff resides in Chesterfield, Missouri (St. Louis). Jeff is an expert in programming for the Internet, socket-level/spidering, and artificial intelligence. He is the author of seven books and more than twenty journal and magazine articles. Among the businesses Jeff has worked with are MasterCard, Anheuser-Busch, and Boeing. a Senior Member of the IEEE and a Java Programmer with Sun Certification. Jeff has an information management master's degree from Washington University in St. Louis.
Published
Published Date / Year
2 edition (November 30, 2008)
Hardcover
428 pages
eBook Format
Online, HTML
ISBN-10
1604390093
ISBN-13
978-1604390094

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