Analog VLSI Implementation of Neural Systems

Name: Analog VLSI Implementation of Neural Systems
Brand: Springer
SKU: 9780792390404
Price: 63442 HUF
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Szerző: Carver Mead, Mohammed Ismail

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Kötés: Kemény kötésű

Kiadó: Springer

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This volume contains the proceedings of a workshop on Analog Integrated Neural Systems held May 8, 1...

Információk a könyvről

Szerző

Carver Mead, Mohammed Ismail

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

oldal

250

EAN

9780792390404

ISBN

0792390407

Enbook ID

01397973

Kiadó

Springer

Súly

1210

Méretek

155 x 235 x 19

Teljes leírás

This volume contains the proceedings of a workshop on Analog Integrated Neural Systems held May 8, 1989, in connection with the International Symposium on Circuits and Systems. The presentations were chosen to encompass the entire range of topics currently under study in this exciting new discipline. Stringent acceptance requirements were placed on contributions: (1) each description was required to include detailed characterization of a working chip, and (2) each design was not to have been published previously. In several cases, the status of the project was not known until a few weeks before the meeting date. As a result, some of the most recent innovative work in the field was presented. Because this discipline is evolving rapidly, each project is very much a work in progress. Authors were asked to devote considerable attention to the shortcomings of their designs, as well as to the notable successes they achieved. In this way, other workers can now avoid stumbling into the same traps, and evolution can proceed more rapidly (and less painfully). The chapters in this volume are presented in the same order as the corresponding presentations at the workshop. The first two chapters are concerned with fmding solutions to complex optimization problems under a predefmed set of constraints. The first chapter reports what is, to the best of our knowledge, the first neural-chip design. In each case, the physics of the underlying electronic medium is used to represent a cost function in a natural way, using only nearest-neighbor connectivity.

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Analog VLSI Implementation of Neural Systems

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