000 | 01798nam a2200289 a 4500 | ||
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001 | ASIN0131471392 | ||
003 | OSt | ||
005 | 20231009152943.0 | ||
008 | 150428s2008 xxu eng d | ||
020 |
_a0131471392 (hardcover) _c$240.00 |
||
020 | _a9780131471399 (hardcover) | ||
028 | 4 | 2 |
_a9780131471399 _bPrentice Hall |
037 | _c891.00 PKR | ||
040 | _cAUI | ||
050 |
_a006.3105195 _bHAY-N |
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082 |
_23rd. _a006.3105195 _bHAY-N |
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100 | 1 |
_aHaykin, Simon O. _912042 |
|
245 | 1 | 0 |
_aNeural Networks and Learning Machines _cSimon O. Haykin. |
250 | _a3rd ed. | ||
260 |
_aNew Delhi _bPrentice Hall, _c2009 |
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300 |
_axxx; 906 p. _c24 cm. |
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490 | 1 | _a3rd edition. | |
520 | _aFor graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. �� Neural Networks and Learning Machines, Third Edition is renowned for its thoroughness and readability. This well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. This is ideal for professional engineers and research scientists. �� Matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/ �� 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 independentl | ||
830 |
_a3rd editio _912043 |
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856 |
_3Amazon.com _uhttp://www.amazon.com/exec/obidos/ASIN/0131471392/chopaconline- |
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942 |
_2ddc _cBK |
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999 |
_c7953 _d7953 |