Adaptive Analog VLSI Neural Systems

by R.J. Coggins, Marwan A. Jabri, Barry G. Flower

Adaptive Analog VLSI Neural Systems is the first practical book on neural networks learning chips and systems. It covers the entire process of implementing neural networks in VLSI chips, beginning with the crucial issues of learning algorithms in an analog framework and limited precision effects, and giving actual case studies of working systems.
The approach is systems and applications oriented throughout, demonstrating the attractiveness...

• Format: Paperback
• Language: English
• ISBN: 0412616300
• ISBN13: 9780412616303
• Release Date: December 1995
• Publisher: Springer
• Length: 262 Pages
• Weight: 0.86 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"
• Grade Range: Postsecondary and higher