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Adaptive Analog VLSI Neural Systems [electronic resource] by Jabri, M. A, Coggins, R. J, Flower, B. G is a book available to read on EtoBox.

What is Adaptive Analog VLSI Neural Systems [electronic resource] about?

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 issues are also covered. The authors are all international figures in the field from AT&T Bell Labs, Bellcore and SEDAL.Content: Front Matter....Pages i-viiOverview....Pages 1-5Introduction to neural computing....Pages 7-16MOS devices and circuits....Pages 17-56Analog VLSI building blocks....Pages 57-88Kakadu — a micropower neural network....Pages 89-103Supervised learning in an analog framework....Pages 105-136A micropower intracardiac electrogram classifier....Pages 137-156On-chip perturbation based learning....Pages 157-169An analog memory technique....Pages 171-179Switched capacitor techniques....Pages 181-199A high speed image understanding system....Pages 201-222A Boltzmann learning system....Pages 223-247Back Matter....Pages 249-262, Edition: Softcover reprint of the original 1st ed. 1996, This book approaches VLSI neural networks from a practical viewpoint, using case studies to show the full p

Author

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

Publisher

Dordrecht : Springer Netherlands

Published

1996

Language

EN