Selection of optimum lateral load - resisting system using artificial neural networks / Maha Abuelmakarem Mohamed Badr Eldin ; Supervised Sherif Mourad , Hany Elgammal , Magdy MouradWahba
Language: Eng Publication details: Cairo : Maha Abuelmakarem Mohamed Badr Eldin , 2006Description: 79P : charts ; 30cmOther title:- اختيار نظام مقاومة الاحمال الجانبية الامثل باستخدام الشبكات العصبية الصناعية [Added title page title]
- Issued also as CD
| Item type | Current library | Home library | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|---|
Thesis
|
قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.05.M.Sc.2006.Ma.S (Browse shelf(Opens below)) | Not for loan | 01010110046537000 | ||
CD - Rom
|
مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.05.M.Sc.2006.Ma.S (Browse shelf(Opens below)) | 46537.CD | Not for loan | 01020110046537000 |
Browsing المكتبة المركزبة الجديدة - جامعة القاهرة shelves Close shelf browser (Hides shelf browser)
| No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | ||
| Cai01.13.05.M.Sc.2006.Ma.E. Establishing an expert system to encode the restoration priorities of monuments / | Cai01.13.05.M.Sc.2006.Ma.M. Measuring the execution quality for construction phase / | Cai01.13.05.M.Sc.2006.Ma.M. Measuring the execution quality for construction phase / | Cai01.13.05.M.Sc.2006.Ma.S Selection of optimum lateral load - resisting system using artificial neural networks / | Cai01.13.05.M.Sc.2006.Ma.S Selection of optimum lateral load - resisting system using artificial neural networks / | Cai01.13.05.M.Sc.2006.Mo.A Assessment of the impact of increasing the legal truck axle loads on the Egyptian roads / | Cai01.13.05.M.Sc.2006.Mo.A Assessment of the impact of increasing the legal truck axle loads on the Egyptian roads / |
Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Civil Engineering
This study proposes an artificial neural network for the selection of optimal lateral load - resisting system for multi - story steel frames The lateral load - resisting systems include rigid frames , braced frames and braced frames with outrigger truss The frame parameters include the number of bays , the number of stories , in addition to the lateral load - resisting system
Issued also as CD
There are no comments on this title.
Click on an image to view it in the image viewer