Static and Dynamic Neural Networks

From Fundamentals to Advanced Theory

by Madan Gupta, Liang Jin, Noriyasu Homma

Series: Wiley - IEEE

Provides comprehensive treatment of the theory of both static and dynamic neural networks.
* Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises.
*An Instructor Support FTP site is available from the Wiley editorial department.

  • Wiley; April 2004
  • ISBN: 9780471460923
  • Edition: 1
  • Read online, or download in secure PDF format
  • Title: Static and Dynamic Neural Networks
  • Series: Wiley - IEEE
  • Author: Madan Gupta; Liang Jin; Noriyasu Homma
  • Imprint: Wiley-IEEE Press

About The Author

MADAN M. GUPTA is a professor in the Intelligent Systems Research Laboratory at the University of Saskatchewan, Canada. He received a BE from the Birla Institute of Technology and Science, Pilani, India, and a PhD from the University of Warwick, Canada. A Fellow of the IEEE and the SPIE, Professor Gupta has been awarded the Kaufmann Prize Gold Medal for Research in the field of fuzzy logic.
LIANG JIN received a BS and MSc in electrical engineering from the Changsha Institute of Technology, China, and a PhD in electrical engineering from the Chinese Academy of Space Technology. He is a senior member of the technical staff at Agere Systems in Allentown, Pennsylvania.
NORIYASU HOMMA earned a BA, MA, and PhD in electrical and communication engineering from Tohoku University, Japan, where he is an associate professor. He is currently a visiting professor at the Intelligent Systems Research Laboratory, College of Engineering, University of Saskatchewan, Canada.