| 000 | 019940000a22003130004500 | ||
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| 003 | EG-GICUC | ||
| 005 | 20250223032302.0 | ||
| 008 | 061016s2005 ua a f m 000 0 eng d | ||
| 040 |
_aEG-GICUC _beng _cEG-GICUC |
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| 041 | 0 | _aEng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.13.08.M.Sc.2005.Ly.C. | ||
| 100 | 0 | _aLydia Adib Guirguis | |
| 245 | 1 | 0 |
_aChannel assignment in a cellular systemusing local optimization of a modified hopfield neural network / _cLydia Adib Guirguis ; Supervised Mona Mahmoud Riad ElGhoneimy |
| 246 | 1 | 5 | _aتخصيص القنوات فى نظام خلوى باستخدام امثلية محلية لشبكات هوبفيلد العصبية المطورة |
| 260 |
_aCairo : _bLydia Adib Guirguis , _c2005 |
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| 300 |
_a144P : _bill ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Electronics and Communications | ||
| 520 | _aChannel assignment techniques are becoming of great importance for the cellular systemsdesign with the increasing demand and limited channels bandwidthOptimum channelassignment targets at efficiently assigning a number of required channels to each cell in the cellular system while satisfying some pre - defined compatibility constraintsIn this thesis , a modified discrete Hopfield neural networks algorithm is used for solving the channel assignment problem ; and the optimization procedure was performed locally on a per cell basisThe main objectives of the research are : to decrease the CPU processing time needed to reach the optimum assignment , and to apply the proposed algorithm on real - time problems where the system demand is varying with time | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aChannel assignment techniques | |
| 653 | 4 | _aHopfield neural networks | |
| 700 | 0 |
_aMona Mahmoud Riad ElGhoneimy , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aAmira _eCataloger |
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| 905 |
_aEsam _eRevisor |
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| 942 |
_2ddc _cTH |
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| 999 |
_c71999 _d71999 |
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