Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/9514
Title: Prediction of Swelling Soil Pressure USING ARTIFICIAL NEURAL NETWORKS
Authors: ABD ELRAHIM, RABAB IBRAHIM
Supervisor - Yahia E.A. Mohammedzein
Keywords: Civil Engineering
Structural Engineering
Swelling Soil
ARTIFICIAL NEURAL NETWORKS
Issue Date: 1-Aug-2003
Publisher: Sudan University of Science and Technology
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.
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.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/9514
Appears in Collections:Masters Dissertations : Engineering

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