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Mohamed I. . Ed(S): Elmasry - VLSI Artificial Neural Networks Engineering - 9780792394938 - V9780792394938
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VLSI Artificial Neural Networks Engineering

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Description for VLSI Artificial Neural Networks Engineering Hardback. Offers an engineering approach to the design of VLSI Artificial Neural Networks (ANNs). This title presents the design of analog, digital and mixed analog/digital VLSI ANNs. It provides a design methodology and a CAD environment to highlight the tradeoff design factors. It includes system applications of ANNs to automatic speech recognition. Editor(s): Elmasry, Mohamed I. Num Pages: 344 pages, biography. BIC Classification: TJF; UY. Category: (P) Professional & Vocational; (XV) Technical / Manuals. Dimension: 234 x 156 x 20. Weight in Grams: 1470.
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 field of VLSI Artificial Neural Networks (ANNs) have witnessed an exponential growth and a new engineering discipline ... Read more

Product Details

Format
Hardback
Publication date
1994
Publisher
Kluwer Academic Publishers United States
Number of pages
344
Condition
New
Number of Pages
329
Place of Publication
Dordrecht, Netherlands
ISBN
9780792394938
SKU
V9780792394938
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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