Principles of neurocomputing for science and engineering
Unlike other neural network books, this is written specifically for scientists and engineers who want to apply neural networks to solve complex problems. For each neurocomputing concept, a solid mathematical foundation is presented along with illustrative examples to accompany that particular archit...
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| Formaat: | Boek |
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New York
McGraw-Hill, INC.
2001
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|
| LEADER | 00995nam a2200193Ia 4500 | ||
|---|---|---|---|
| 001 | CTU_115867 | ||
| 008 | 210402s9999 xx 000 0 und d | ||
| 020 | |c 158.44 | ||
| 082 | |a 006.32 | ||
| 082 | |b H198 | ||
| 100 | |a Ham, Fredric M. | ||
| 245 | 0 | |a Principles of neurocomputing for science and engineering | |
| 245 | 0 | |c Fredric M. Ham, Ivica Kostanic. | |
| 260 | |a New York | ||
| 260 | |b McGraw-Hill, INC. | ||
| 260 | |c 2001 | ||
| 520 | |a Unlike other neural network books, this is written specifically for scientists and engineers who want to apply neural networks to solve complex problems. For each neurocomputing concept, a solid mathematical foundation is presented along with illustrative examples to accompany that particular architecture and associated training algorithm. Incorporates many detailed examples and an extensive set of end-of-chapter problems | ||
| 650 | |a Neural computers,Neural networks (Computer science) | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||