Neural Networks and Learning Machines / Simon Haykin
Publication details: Pearson India Education Services Pvt. Ltd. Chennai 2018Edition: 3rd EdDescription: xxiv, 918p. : ill. ; 24cmISBN:- 9789332570313
- 23rd 006.32 HAY
| Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|
| Text Book | VIT-AP General Stacks | 006.32 HAY (Browse shelf(Opens below)) | In transit from VIT-AP to School of Computer Science Section since 2025-01-16 | CSE | 018727 | ||||
| Text Book | VIT-AP General Stacks | 006.32 HAY (Browse shelf(Opens below)) | In transit from VIT-AP to School of Computer Science Section since 2025-02-13 | CSE | 018728 | ||||
| Text Book | VIT-AP General Stacks | 006.32 HAY (Browse shelf(Opens below)) | In transit from VIT-AP to School of Computer Science Section since 2025-03-11 | CSE | 018729 | ||||
| Text Book | VIT-AP General Stacks | 006.32 HAY (Browse shelf(Opens below)) | In transit from VIT-AP to School of Computer Science Section since 2025-01-23 | CSE | 012172 | ||||
| Reference Book | VIT-AP General Stacks | Reference | 006.32 HAY (Browse shelf(Opens below)) | 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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