TY  - GEN
AU  - Basima Said Allam
AU  - Mostafa Abukiefa , 
AU  - Nabil Abd El badeea Yehia , 
AU  - Osama Mansour , 
TI  - Artificial intelligence based predictons of precautionary measures for buildings adjacent to tunnel route during tunneling process / 
PY  - 2005///
CY  - Cairo : 
PB  - Basima Said Allam , 
KW  - Adjacent
KW  - Artificial
KW  - Precautionary
N1  - Thesis (PH.D.) - Cairo University - Faculty Of Engineering - Department Of Civil Engineering; Issued also as CD
N2  - Underground 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
UR  - http://172.23.153.220/th.pdf
ER  -