000			022580000a22003490004500
003			EG-GICUC
005			20250223030207.0
008			061217s2005 ua d f m 000 0 eng d
040			_aEG-GICUC _beng _cEG-GICUC
041	0		_aEng
049			_aDeposite
097			_aPh.D
099			_aCai01.13.05.Ph.D.2005.Ba.A
100	0		_aBasima Said Allam
245	1	0	_aArtificial intelligence based predictons of precautionary measures for buildings adjacent to tunnel route during tunneling process / _cBasima Said Allam ; Supervised Nabil Abd El badeea Yehia , Mostafa Abukiefa , Osama Mansour
246	1	5	_aاستخدام الذكاء الاصطناعى فى التنبأ بالاحتياطات الواجب اتباعها للمبانى المجاورة لمسار النفق خلال تنفيذ النفق
260			_aCairo : _bBasima Said Allam , _c2005
300			_a180P : _bcharts ; _c30cm
502			_aThesis (PH.D.) - Cairo University - Faculty Of Engineering - Department Of Civil Engineering
520			_aUnderground structures are facing several challenges , among which it's construction effect on the nearby buildings This effect on the nearby buildings is a main factor in choosing the tunnel route To predict this effect and choose the appropriate precautionary measures to such buildings , the Artificial Intelligence techniques are implemented in this research to achieve an integrated structural system two types of software's are used as tools to reach our goal The two types are (AI) artificial intelligence techniques and numerical analysis software The AI techniques are Fuzzy Logic , Artificial Neural Networks (ANN) , and Knowledge Based Expert System (KBES) knowledge Based Expert System (KBES) is efficient in determining the classification categories of the studied buildings along the tunnel route according to their sensitivity
530			_aIssued also as CD
653		4	_aAdjacent
653		4	_aArtificial
653		4	_aPrecautionary
700	0		_aMostafa Abukiefa , _eSupervisor
700	0		_aNabil Abd El badeea Yehia , _eSupervisor
700	0		_aOsama Mansour , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aAml _eCataloger
905			_aEsam _eRevisor
942			_2ddc _cTH
999			_c29579 _d29579