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

General software that can perform gesture recognition is MATLAB, Microsoft Visual C#, Microsoft Visual C++, and Microsoft Visual Basic. Introduction to Neural Networks for C#, 2nd Edition · 0 · DBgrey14, 26, 18th January 2011 - 02:02 AM Last post by: DBgrey14. Only a few researchers continued their eorts, most notably Teuvo Kohonen, Stephen Grossberg, James . Artificial neural network architectures such as backpropagation tend to have general applicability. Encog is an advanced Machine Learning Framework for Java, C# and Silverlight. This book focuses on using the neural network capabilities of Encog with the C# programming language. Neural Networks, A Comprehensive Foundation, by Simon Haykin, Prentice Hall, second edition, 2001. We can use a single network type in many different applications by changing the network's size, parameters, and training sets. When Minsky and Papert published their book Perceptrons in 1969 (Minsky & Papert, 1969) in which they showed the de ciencies of perceptron models, most neural network funding was redirected and researchers left the eld. Introduction to Neural Networks, by J. Introduction to Neural Networks with C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Zurada, West Publishing Company, 1992. This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. 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]. Introduction to Neural Networks for C# Online Book: http://www.heatonresearch.com/online/introduction-neural-networks-cs-edition-2. Heaton, Introduction to Neural Networks for JAVA, Heaton Research, Inc, 2nd edition, 2008. Introduction to Neural Networks for C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence.