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- DescriptionFocuses on the use of neural networks in pattern recognition, an important application area for neural networks technology. This book features neural network architectures on the cutting edge of neural network research, and brings together ideas on dynamical neural networks.
- Author BiographyOmid Omidvar is a professor of Computer Science at the University of Computer Science at the University of the District of Columbia, Washington, D.C. He is also a technical director of SPPARC center; a supercomputing facility funded by NSF. He received his Ph.D. from the University of Oklahoma in 1967 and has done extensive work in applications of Neural Networks in Optical Character Recognition and Finger Print for the National Institute of Standards and Technology. Dr. Omidvar has been a consultant to many of the world's most important corporations including IBM, Sun, Gumann, and has completed a five year project for the District of Columbia NASA Consortium in design and performance evaluation of neurocontrollers. Dr. Omidvar is also the Editor-in-Chief of the Journal of Artificial Neural Networks, has been an editor of Progress in Neural Network Series since 1990, and has published a large number of journal and conference publications. In addition to teaching, Dr. Omidvar is also currently working as a computer scientist in the Image Recognition Group, Advanced System Division, at NIST.
- Author(s)Judith Dayhoff,Omid Omidvar
- PublisherElsevier Science Publishing Co Inc
- Date of Publication29/10/1997
- GenreComputing: Professional & Programming
- Place of PublicationSan Diego
- Country of PublicationUnited States
- ImprintAcademic Press Inc
- Content Noteb&w illustrations, references
- Weight710 g
- Width152 mm
- Height229 mm
- Spine23 mm
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