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Neural Networks
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Bernard Widrow carried out the pioneering research for neural networks at Stanford University in the 1950s. This technology requires massive computer capacity and, for that reason, practical applications have been limited. However, neural networks are fascinating. Imagine computers that function the way scientists think the brain functions! "An Introduction to Neural Networks" by Leslie Smith at www.cs.stir.ac.uk/~lss/NNIntro/InvSlides.html provides a good place to begin exploring this technology. At www.cacs.usl.edu/~manaris/ai-education-repository/
neural-n-tutorial.html
, you'll find tutorials on neural networks. You can, of course, enter "neural network" in any search engine to find additional information.


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Additional Links

WEBSOM: Self-Organizing Map for Internet Exploration   This Web site demonstrates an artificial neural network model called The Self-Organizing Map (SOM). The demonstration allows you to explore over one million documents from more than 80 Usenet newsgroups. Is this type of neural network useful? Consider the following: Current estimates indicate that the Web contains over 300 million pages. Web search engines index only about 55 percent of those pages, at best. You will find that WEBSOM, with its intuitive graphical interface, makes exploring Usenet documents enjoyable as well as interesting.

Neural Networks: Reduction to Practice   This entertaining and informative slide show from Robert J. Marks, II, of the University of Washington, discusses many practical applications of neural networks. The examples are drawn from areas as diverse as steel manufacturing and politics.


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