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Feed-Forward Neural Networks
Jouke Annema
€ 128.07
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Description for Feed-Forward Neural Networks
Hardback. Presents a method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. This book discusses some other alternative algorithms for hardware implemented perception-like neural networks. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 251 pages, biography. BIC Classification: TJF; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 15. Weight in Grams: 537.
Feed-Forward Neural Networks: Vector Decomposition Analysis, Modelling and Analog Implementation presents a novel method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. The book also discusses some other recent alternative algorithms for hardware implemented perception-like neural networks. The method permits a simple analysis of the learning behaviour of neural networks, allowing specifications for their building blocks to be readily obtained.
Starting with the derivation of a specification and ending with its hardware implementation, analog hard-wired, feed-forward neural networks with on-chip back-propagation learning ... Read more
Feed-Forward Neural Networks: Vector Decomposition Analysis, Modelling and Analog Implementation presents a novel method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. The book also discusses some other recent alternative algorithms for hardware implemented perception-like neural networks. The method permits a simple analysis of the learning behaviour of neural networks, allowing specifications for their building blocks to be readily obtained.
Starting with the derivation of a specification and ending with its hardware implementation, analog hard-wired, feed-forward neural networks with on-chip back-propagation learning ... Read more
Product Details
Format
Hardback
Publication date
1995
Publisher
Kluwer Academic Publishers United States
Number of pages
251
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
238
Place of Publication
Dordrecht, Netherlands
ISBN
9780792395676
SKU
V9780792395676
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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