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VLSI Artificial Neural Networks Engineering
Mohamed I. . Ed(S): Elmasry
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Description for VLSI Artificial Neural Networks Engineering
Paperback. Editor(s): Elmasry, Mohamed I. Num Pages: 344 pages, biography. BIC Classification: PHS; THR; TJFC. Category: (G) General (US: Trade). Dimension: 235 x 155 x 18. Weight in Grams: 534.
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
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
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
344
Condition
New
Number of Pages
329
Place of Publication
New York, NY, United States
ISBN
9781461361947
SKU
V9781461361947
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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