Adaptive Analog VLSI Neural Systems

Häftad, Engelska, 1995

AvM. Jabri,R.J. Coggins,B.G. Flower,R. J. Coggins,M. Jardi,M. A. Jabri,B. G. Flower

1 379 kr

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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.

Produktinformation

Utgivningsdatum1995-12-31
Mått155 x 235 x 15 mm
Vikt417 g
FormatHäftad
SpråkEngelska
Antal sidor262
Upplaga1996
FörlagChapman and Hall
ISBN9780412616303

Tillhör följande kategorier

Overview. Introduction to neural computing. MOS devices and circuits. Analogue VLSI building blocks. Kakadu - a micropower neural network. Supervised learning in an analog framework. A micropower intracardiac electrogram classifier. On-chip perturbation based learning. An analog memory technique. Switched capacitor techniques. A high speed image understanding system. A Boltzmann machine learning system. References. Index.