| 000 | 018020000a22003250004500 | ||
|---|---|---|---|
| 003 | EG-GICUC | ||
| 005 | 20250223032418.0 | ||
| 008 | 070319s2007 ua a f m 000 0 eng d | ||
| 040 |
_aEG-GICUC _beng _cEG-GICUC |
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| 041 | 0 | _aEng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.13.07.Ph.D.2007.Ta.O | ||
| 100 | 0 | _aTamer Mohamed Elsaied Elkhodragy | |
| 245 | 1 | 0 |
_aOptimum design of earthing system of high voltage substations by using artificial neural network / _cTamer Mohamed Elsaied Elkhodragy ; Supervised Ossama Elsaid Gouda , Ghada Mohamed Amer |
| 246 | 1 | 5 | _aالتصميم الامثل لنظم التأريض فى محطات الجهد العالى بإستخدام الخلايا العصبية الصناعية |
| 260 |
_aCairo : _bTamer Mohamedelsaiedelkhodragy , _c2007 |
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| 300 |
_a166P : _bill ; _c30cm |
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| 502 | _aThesis (PH.D.) - Cairo University - Faculty Of Engineering - Department Of Electrical Power and Machines | ||
| 520 | _aThe present work is focused towards developing artificial neural network to evaluate design parameters of ground system for the predetermined grounding resistance value and soil resistivity without need of complex calculations These ANN are used to select the optimum dimensions and geometry of grounding system required for obtaining satisfactory ground resistance , and step and touch potentials Also ANN is used to select the optimum compression ratio for uniform soil and two layer soils | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _ahigh voltage substations | |
| 653 | 4 | _aOptimum design | |
| 700 | 0 |
_aGhada Mohamed Amer , _eSupervisor |
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| 700 | 0 |
_aOssama Elsaid Gouda , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aAml _eCataloger |
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| 905 |
_aEsam _eRevisor |
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| 942 |
_2ddc _cTH |
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| 999 |
_c74544 _d74544 |
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