.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
VLSI - Compatible Implementations for Artificial Neural Networks
Fakhraie, Sied Mehdi; Smith, Kenneth C
€ 127.06
FREE Delivery in Ireland
Description for VLSI - Compatible Implementations for Artificial Neural Networks
paperback. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 223 pages, biography. BIC Classification: PHS; THR; TJFC. Category: (G) General (US: Trade). Dimension: 235 x 155 x 12. Weight in Grams: 355.
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
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
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. 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
New York, NY, United States
ISBN
9781461378976
SKU
V9781461378976
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for VLSI - Compatible Implementations for Artificial Neural Networks