Neural networks and learning machines / Simon Haykin, McMaster University Hamilton, Ontario, Canada.
Material type:
TextPublisher: Upper Saddle River, New Jersey : Pearson Education, [2009]Copyright date: c 2009Edition: Third edition; Pearson international editionDescription: 934 pages : illustrations (some color) ; 24 cmContent type: - text
- unmediated
- volume
- 0131293761
- 9780131293762
- 006.32 HAY 22
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Central Library Lower Floor | Baccah | 006.32 HAY (Browse shelf(Opens below)) | 36 | Available | 000019728 |
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| 006.32 HAM Principles of neurocomputing for science and engineering / | 006.32 HAY Neural networks : | 006.32 HAY Neural networks : | 006.32 HAY Neural networks and learning machines / | 006.32 HAY Neural networks and learning machines / | 006.32 HAY Neural networks and learning machines / | 006.32 HAY Neural networks and learning machines / |
Includes bibliographical references and index.
Using a wealth of case studies to illustrate the real-life, practical applications of neural networks, this state-of-the-art text exposes students to many facets of Neural Networks.
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