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Adaptive Analog Vlsi Neural Systems - Softcover

Jabri, M.

 
9780412616303: Adaptive Analog Vlsi Neural Systems
Softcover
ISBN 10: 0412616300 ISBN 13: 9780412616303
Verlag: Springer, 2013

Inhaltsangabe

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 of such an approach for applications such as adaptive pattern recognition and optical character recognition.
Dr Jabri and his co-authors from AT&T Bell Laboratories, Bellcore and the University of Sydney provide a comprehensive introduction  to VLSI neural networks suitable for research and development staff and advanced students.

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Über die Autorin bzw. den Autor

Marwan Jabri is a Reader, Richard Coggins is a Research Engineer and Barry Flower is a Research Fellow at SEDAL, Sydney University Electrical Engineering, Australia.

Von der hinteren Coverseite

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 of such an approach for applications such as adaptive pattern recognition and optical character recognition.
Dr Jabri and his co-authors from AT&T Bell Laboratories, Bellcore and the University of Sydney provide a comprehensive introduction  to VLSI neural networks suitable for research and development staff and advanced students.

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Verlag
Springer
Erscheinungsdatum
2013
Sprache
Englisch
ISBN 10 
0412616300
ISBN 13 
9780412616303
Einband
Taschenbuch
Anzahl der Seiten
272
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