Description

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Neural network theory can be learned with relative ease, yet learning to apply the technology successfully can be a slow, trial-and-error process. In this study, the connectionist model is taught using numerous examples that show how people have built neural network applications.

About the Author

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About David M. Skapura David M. Skapura is the coauthor, with James A. Freeman, of Neural Networks: Algorithms, Applications, and Programming Techniques. He is currently employed by Brightware Corporation (a spin-off of Inference Corporation), where he works as an applications consultant, developing customized knowledge-based systems and applications. He is also the founder and president of Scient Computing, a small Houston consulting firm specializing in neural-networking applications and research. Previously at Loral Space Information Systems, Skapura investigated the applicability of neural networks to NASA's advanced automation requirements. He is an adjunct professor at the University of Houston at Clear Lake. 0201539217AB04062001