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Neural Systems for Robotics
 
 
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Neural Systems for Robotics (Hardcover)

by Omid Omidvar (Author), Patrick van der Smagt (Author)
5.0 out of 5 stars See all reviews (1 customer review)
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Product details

  • Hardcover: 346 pages
  • Publisher: Academic Press (23 April 1997)
  • Language English
  • ISBN-10: 0125262809
  • ISBN-13: 978-0125262804
  • Product Dimensions: 23.6 x 15.6 x 2.1 cm
  • Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 3,549,002 in Books (See Bestsellers in Books)

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Product Description

Product Description
Neural Systems for Robotics represents the most up-to-date developments in the rapidly growing aplication area of neural networks, which is one of the hottest application areas for neural networks technology. The book not only contains a comprehensive study of neurocontrollers in complex Robotics systems, written by highly respected researchers in the field but outlines a novel approach to solving Robotics problems. The importance of neural networks in all aspects of Robot arm manipulators, neurocontrol, and Robotic systems is also given thorough and in-depth coverage. All researchers and students dealing with Robotics will find Neural Systems for Robotics of immense interest and assistance.

Key Features
* Focuses on the use of neural networks in robotics-one of the hottest application areas for neural networks technology
* Represents the most up-to-date developments in this rapidly growing application area of neural networks
* Contains a new and novel approach to solving Robotics problems

About the Author
Omid 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.
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0 of 2 people found the following review helpful:
5.0 out of 5 stars Perfect Book., 20 Feb 2001
By A Customer
It is interesting book. It consists of neural applications on robotics. Selection of neural networks for robots is described and given examples.
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