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Introduction to Neural Networks for C#, 2nd Edition Jeff Heaton
Publisher: Heaton Research, Inc.

Introduction to Neural Networks, by J. Heaton, Introduction to Neural Networks for JAVA, Heaton Research, Inc, 2nd edition, 2008. Artificial neural network architectures such as backpropagation tend to have general applicability. 978-0471802719 BOOK Length : 828 pagesBOOK File Format : PDF BOOK. Neural Networks, A Comprehensive Foundation, by Simon Haykin, Prentice Hall, second edition, 2001. Book,jntu ebooks,jntu e book,jntu books,jntu book,free engineering books,engineering books download,engineering books,free books,free ebook,ebooks for free,free ebooks,. Several approaches have been proposed previously to recognize the gestures using soft computing approaches such as artificial neural networks (ANNs) [12–16], fuzzy logic sets [17], and genetic algorithms [18]. General software that can perform gesture recognition is MATLAB, Microsoft Visual C#, Microsoft Visual C++, and Microsoft Visual Basic. An Introduction to the Analysis of Algorithms, Second Edition. Introduction to Neural Networks with C#, Second Edition,. Introduction to Neural Networks with C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Introduction to Neural Networks with Java, Second Edition, introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. We can use a single network type in many different applications by changing the network's size, parameters, and training sets. Zurada, West Publishing Company, 1992. NET for Java Developers: Migrating to C# (1); Addison Wesley .NET Patterns (1); Addison Wesley Advanced Programming in The UNIX Environment (1); Addison Wesley An Introduction to Neural Networks. The Java book is the Second Edition to the original "Introduction to Neural Networks with Java". Introduction to Neural Networks for Java and Introduction to Neural Networks for C#.