Introduction to Neural Networks for C#, 2nd Edition - Softcover

Heaton, Jeff

Softcover

ISBN 10: 1604390093 ISBN 13: 9781604390094

Publisher: Heaton Research, Incorporated, 2008

Synopsis

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.

About this title

About the Author:

Jeff Heaton, PhD, is a computer scientist that specializes in data science and artificial intelligence. Specializing in Python, R, Java and C#, he is an open source contributor and author of more than ten books. His areas of expertise include predictive modeling, data mining, big data, business intelligence, and artificial intelligence. Jeff holds a Master's Degree in Information Management from Washington University and a PhD in computer science from Nova Southeastern University in computer science. He is the lead developer for the Encog Machine Learning Framework open source project, a senior member of IEEE, and a fellow of the Life Management Institute (FLMI).

About this edition

• Publisher: Heaton Research, Incorporated
• Publication date: 2008
• ISBN 10: 1604390093
• ISBN 13: 9781604390094
• Binding: Paperback
• Edition number: 2
• Number of pages: 428