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Fakhraie, Sied Mehdi; Smith, K. C. A. - VLSI-compatible Implementations for Artificial Neural Networks - 9780792398257 - V9780792398257
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VLSI-compatible Implementations for Artificial Neural Networks

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Description for VLSI-compatible Implementations for Artificial Neural Networks Hardback. Introduces the basic premise of the authors' approach to biologically-inspired and VLSI-compatible definition, simulation, and implementation of artificial neural networks. This book develops a set of guidelines for general hardware implementation of ANNs. It may also be used as a text for advanced courses on the subject. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 223 pages, biography. BIC Classification: TJF; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 498.
This book introduces several state-of-the-art VLSI implementations of artificial neural networks (ANNs). It reviews various hardware approaches to ANN implementations: analog, digital and pulse-coded. The analog approach is emphasized as the main one taken in the later chapters of the book. The area of VLSI implementation of ANNs has been progressing for the last 15 years, but not at the fast pace originally predicted. Several reasons have contributed to the slow progress, with the main one being that VLSI implementation of ANNs is an interdisciplinaly area where only a few researchers, academics and graduate students are willing to venture. The ... Read more

Product Details

Format
Hardback
Publication date
1996
Publisher
Kluwer Academic Publishers United States
Number of pages
223
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
194
Place of Publication
Dordrecht, Netherlands
ISBN
9780792398257
SKU
V9780792398257
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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