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| 003 | EG-GiCUC | ||
| 005 | 20250223030259.0 | ||
| 008 | 100926s2010 ua dh f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.20.01.M.Sc.2010.Fa.F | ||
| 100 | 0 | _aFarid Ali Mousa Abdelkader | |
| 245 | 1 | 0 |
_aFuzzy logic in classifier combination / _cFarid Ali Mousa Abdelkader ; Supervised Sanaa Elola Hanafi Ahmed , Neamat Elgayar |
| 246 | 1 | 5 | _aالمنطق الفازى فى الجمع بين المصنفات |
| 260 |
_aCairo : _bFarid Ali Mousa Abdelkader , _c2010 |
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| 300 |
_a100Leaves: _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology | ||
| 520 | _a In the field of pattern recognition multiple classifier systems based on the combination of output from different classifiers have been proposed as a method of high performance classification systems . Multiple classifier system is a preferable solution for complex recognition problems as the fact that best individual classifier for a classification task was very difficult to identify unless deep prior knowledge was available | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aClassifier combination | |
| 653 | 4 | _aFuzzy K-Nearst Neighbors | |
| 653 | 4 | _aK-Nearst Neighbors | |
| 700 | 0 |
_aNeamat Elgayar , _eSupervisor |
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| 700 | 0 |
_aSanaa Elola Hanafi Ahmed , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aFatma _eCataloger |
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| 905 |
_aNazla _eRevisor |
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| 942 |
_2ddc _cTH |
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_c31470 _d31470 |
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