Developing an rtificial neural network to predict the effect of sulfate attack on the concrete structures / (Record no. 44782)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01781cam a2200313 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EG-GiCUC |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140108s2013 ua dh f m 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | EG-GiCUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GiCUC |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | Deposite |
| 097 ## - Thesis Degree | |
| Thesis Level | M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | Cai01.13.05.M.Sc.2013.So.D |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sohaib Mundher Hussein Alukashy |
| 245 10 - TITLE STATEMENT | |
| Title | Developing an rtificial neural network to predict the effect of sulfate attack on the concrete structures / |
| Statement of responsibility, etc. | Sohaib Mundher Hussein Alukashy ; Supervised Osama A. Hodhod , Mostafa A. Abdeen |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | تطوير شبكة عصبية اصطناعية للتنبؤ بتأثير مهاجمة الكبريتات للمنشآت الخرسانية |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Cairo : |
| Name of publisher, distributor, etc. | Sohaib Mundher Hussein Alukashy , |
| Date of publication, distribution, etc. | 2013 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 84 P. : |
| Other physical details | charts , facsimiles ; |
| Dimensions | 30cm |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | In this study, an artificail neural network (ANN) is developed to be used in prediciting the reduction incompressive strength of concrete exposed to sulfate bearing environments. A total of 214 cases are gathered from pertinent literature. The data used in developing the artificial neural network model are arranged in a format of nine inputs which are: cement type, cement content,water to cement ratio, fine and coarse aggregate contents, mineral admixture type and content, type and concentration of sulfate salt, and exposure time |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Issued also as CD |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | ANN |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Soft computing |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Sulfate attack |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mostafa Ahmed Abdeen , |
| Relator term | |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Osama A. Hodhod , |
| Relator term | |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
| Cataloger | Aml |
| Reviser | Cataloger |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
| Cataloger | Nazla |
| Reviser | Revisor |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Source of classification or shelving scheme | Not for loan | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Koha item type | Copy number |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 11.02.2024 | Cai01.13.05.M.Sc.2013.So.D | 01010110061756000 | 22.09.2023 | Thesis | ||
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | مخـــزن الرســائل الجـــامعية - البدروم | 11.02.2024 | Cai01.13.05.M.Sc.2013.So.D | 01020110061756000 | 22.09.2023 | CD - Rom | 61756.CD |