| 000 | 01655 a2200217 4500 | ||
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_c22775 _d22775 |
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| 003 | VITAP | ||
| 005 | 20201007142859.0 | ||
| 008 | 181127b ||||| |||| 00| 0 eng d | ||
| 020 | _a9789332570313 | ||
| 040 | _cVITAP | ||
| 082 |
_223rd _a006.32 HAY |
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| 100 |
_aHaykin, Simon _97847 |
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| 245 |
_aNeural Networks and Learning Machines / _cSimon Haykin |
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| 250 | _a3rd Ed. | ||
| 260 |
_bPearson India Education Services Pvt. Ltd. _aChennai _c2018 |
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| 300 |
_axxiv, 918p. : ill. ; _c24cm |
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| 500 | _aIt 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. | ||
| 653 | _aNeural Networks (Computer Science); Adaptive Filters | ||
| 856 | _uhttps://pearsoned.co.in/web/books/9789332570313_Neural-Networks-and-Learning-Machines_Simon-Haykin.aspx | ||
| 942 |
_2ddc _cBK _h006.32 HAY |
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