Static & Dynamic Neural Networks – Madan M.Gupta, Liang Jin, N. Homma

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.

AUTHOR INFORMATION

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.