dc.contributor.author |
ABD ELRAHIM, RABAB IBRAHIM |
|
dc.contributor.author |
Supervisor - Yahia E.A. Mohammedzein |
|
dc.date.accessioned |
2015-01-05T11:23:50Z |
|
dc.date.available |
2015-01-05T11:23:50Z |
|
dc.date.issued |
2003-08-01 |
|
dc.identifier.citation |
ABD ELRAHIM, RABAB IBRAHIM .Prediction of Swelling Soil Pressure USING ARTIFICIAL NEURAL NETWORKS/ RABAB IBRAHIM ABD ELRAHIM ;Yahia E.A. Mohammedzein.-Khartoum:Sudan University of Science and Technology,College of Engineering,2003.-82P. ill. ; 28Cm.M.Sc. |
en_US |
dc.identifier.uri |
http://repository.sustech.edu/handle/123456789/9514 |
|
dc.description |
Thesis |
en_US |
dc.description.abstract |
The Artificial Neural Networks is a new computing system, which proved
in the last years a high ability in treating the ambiguous and strange
phenomenan,which may be hardly solved by other methods.
A model made by using Artificial Neural Networks was used to predict
swelling soil pressure by defining its main properties. Then a parametric study
was done to know the effects of parameters on swelling pressure. Moreover the
predicted values were compared with the experimental ones.
It is found that Artificial Neural Networks is a powerful tool in solving
problems containing multiple variables, and has a good ability in performing
parametric analysis. |
en_US |
dc.description.sponsorship |
Sudan University of Science and Technology |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Sudan University of Science and Technology |
en_US |
dc.subject |
Civil Engineering |
en_US |
dc.subject |
Structural Engineering |
en_US |
dc.subject |
Swelling Soil |
en_US |
dc.subject |
ARTIFICIAL NEURAL NETWORKS |
en_US |
dc.title |
Prediction of Swelling Soil Pressure USING ARTIFICIAL NEURAL NETWORKS |
en_US |
dc.type |
Thesis |
en_US |