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Prediction of Swelling Soil Pressure USING ARTIFICIAL NEURAL NETWORKS

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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


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