header
Local cover image
Local cover image
Image from OpenLibrary

Artificial intelligence based predictons of precautionary measures for buildings adjacent to tunnel route during tunneling process / Basima Said Allam ; Supervised Nabil Abd El badeea Yehia , Mostafa Abukiefa , Osama Mansour

By: Contributor(s): Language: Eng Publication details: Cairo : Basima Said Allam , 2005Description: 180P : charts ; 30cmOther title:
  • استخدام الذكاء الاصطناعى فى التنبأ بالاحتياطات الواجب اتباعها للمبانى المجاورة لمسار النفق خلال تنفيذ النفق [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (PH.D.) - Cairo University - Faculty Of Engineering - Department Of Civil Engineering Summary: 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
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.Ph.D.2005.Ba.A (Browse shelf(Opens below)) Not for loan 01010110044904000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.Ph.D.2005.Ba.A (Browse shelf(Opens below)) Not for loan 01020110044904000

Thesis (PH.D.) - Cairo University - Faculty Of Engineering - Department Of Civil Engineering

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

Issued also as CD

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image