Neural Networks and Learning Machines / Simon Haykin
By: Haykin, Simon
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Publisher: Chennai Pearson India Education Services Pvt. Ltd. 2018Edition: 3rd Ed.Description: xxiv, 918p. : ill. ; 24cm.ISBN: 9789332570313.Subject(s): Neural Networks (Computer Science); Adaptive FiltersDDC classification: 006.32 HAY Online resources: Click here to access online
| Item type | Current location | Collection | Call number | Status | Notes | Date due | Barcode | Course reserves |
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Text Book
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School of Computer Science Section General Stacks | 006.32 HAY (Browse shelf) | In transit from VIT-AP to School of Computer Science Section since 2024-03-06 | CSE | 018727 | |||
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Text Book
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School of Computer Science Section General Stacks | 006.32 HAY (Browse shelf) | In transit from VIT-AP to School of Computer Science Section since 2024-03-13 | CSE | 018728 | |||
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Text Book
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School of Computer Science Section General Stacks | 006.32 HAY (Browse shelf) | In transit from VIT-AP to School of Computer Science Section since 2024-03-15 | CSE | 018729 | |||
Reference Book
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VIT-AP General Stacks | Reference | 006.32 HAY (Browse shelf) | Not for loan | CSE | 012172 | ||
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Reference Book
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VIT-AP General Stacks | Reference | 006.32 HAY (Browse shelf) | Not for loan | CSE | 05045 |
It includes Bibliography, Index, Abbreviations and Symbols and Glossary
Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.
Features
• Based on the latest version of MATLAB
• More than 30 graphs in color in the chapter "MATLAB Graphics"
• List of commands at the end of the chapter for quick recapitulation
• Appendices on graphic user interface and control system analysis using the LTI viewer
• Approximately 250 figures and screenshots
• Programming tips to highlight good programming practices
• More than 250 solved examples and approximately 200 end-of-chapter exercises.
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