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.

Get Static & Dynamic Neural Networks or the other courses from the same one of these categories: , , , , , , , for free on Cloud Share Network.

Share Course Static & Dynamic Neural Networks, Free Download Static & Dynamic Neural Networks, Static & Dynamic Neural Networks Torrent, Static & Dynamic Neural Networks Download Free, Static & Dynamic Neural Networks Discount, Static & Dynamic Neural Networks Review, Madan M. Gupta & Liang Jin & N. Homma – Static & Dynamic Neural Networks, Static & Dynamic Neural Networks, Madan M. Gupta, Liang Jin, N. Homma.

Related Shares