Normal view
MARC view
Principles of artificial neural networks / Daniel Graupe.
Series: Advanced series on circuits and systems ; v. 6.Publication details: Singapore ; Hackensack, N.J. : World Scientific, c2007.Edition: 2nd edDescription: xv, 303 p. : ill. ; 26 cmContent type:- text
- unmediated
- volume
- 9789812706249 :
- 9812706240 :
- QA76.87 G77 2007
Contents:
Fundamentals of biological neural networks -- Basic principles of ANNs and their early structures -- The perceptron -- The madaline -- Back propagation -- Hopefield networks -- Counter propagation -- Adaptive resonance theory -- The cognitron and the neocognitron -- Statistical training -- Recurrent (time cycling) back propagation networks -- Large scale memory storage and retrieval (LAMSTAR) network.
| Item type | Current library | Home library | Shelving location | Call number | Status | Barcode | |
|---|---|---|---|---|---|---|---|
Books
|
American University in Dubai | American University in Dubai | Main Collection | QA 76.87 G77 2007 (Browse shelf(Opens below)) | Available | 5028757 |
Includes bibliographical references (p. 291-297) and indexes.
Fundamentals of biological neural networks -- Basic principles of ANNs and their early structures -- The perceptron -- The madaline -- Back propagation -- Hopefield networks -- Counter propagation -- Adaptive resonance theory -- The cognitron and the neocognitron -- Statistical training -- Recurrent (time cycling) back propagation networks -- Large scale memory storage and retrieval (LAMSTAR) network.
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