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VLSI Artificial Neural Networks Engineering

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VLSI Artificial Neural Networks Engineering - Elmasry, Mohamed I. (Editor)
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Engineers have long been fascinated by how efficient and how fast biological neural networks are capable of performing such complex tasks as recognition. Such networks are capable of recognizing input data from any of the five senses with the necessary accuracy and speed to allow living creatures to survive. Machines which perform such complex tasks as recognition, with similar ac curacy and speed, were difficult to implement until the technological advances of VLSI circuits and systems in the late 1980's. Since then, the ...

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VLSI Artificial Neural Networks Engineering 2012, Springer-Verlag New York Inc., New York, NY

ISBN-13: 9781461361947

Paperback

VLSI Artificial Neural Networks Engineering 1994, Springer, New York, NY

ISBN-13: 9780792394938

1994 edition

Hardcover