Adaptive Analog VLSI Neural Systems

This book approaches VLSI neural networks from a practical viewpoint, using case studies to show the full process of VLSI implementation of a network, and addressing the important issues of learning algorithms and limited precision effects. System aspects and low-power implementation issue are also covered. The authors are all international figures in the field from AT&T Bell Labs, Bellco and SEDAL. This book should be of interest to researchers and graduate students in neural networks VLSI and computer architecture.