University of Khartoum

Soil Profile Prediction Using Artificial Neural Networks in Sudan

Soil Profile Prediction Using Artificial Neural Networks in Sudan

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dc.contributor.advisor Dr. El Hussein Elarabi en_US
dc.contributor.author Mohammed Nour, Yassir
dc.date.accessioned 2015-05-03T11:55:42Z
dc.date.available 2015-05-03T11:55:42Z
dc.date.issued 2015-05-03
dc.date.submitted 2007
dc.identifier.uri http://khartoumspace.uofk.edu/handle/123456789/10157
dc.description.abstract Artificial Neural Networks (ANNs) are a form of Artificial Intelligence, which are mathematical models, inspired from the brains of certain information-processing characteristics, producing meaningful solutions, which fall beyond the reach of conventional digital computers. In recent years, the use of ANNs has increased in many areas of engineering. In particular, ANNs have been applied to many geotechnical engineering problems and have demonstrated some degree of success. In this study,ANNs are used for soil classification prediction in a specified locations at different depths, based on the available site investigation data from a specific area in Sudan. Regarding the large number of the data and considerable variations in soil layers in Sudan, hundred of boreholes were selected for this study . Seven Networks are developed to predict the soil layering in specified locations in Khartoum city.In this study ,area of about 165 square kilometers of Khartoum concentrating on Blue Nile region is considered and the results are then compared with data of actual boreholes to check the ANN model’s validity . The results indicate that Artificial Neural Networks are a useful technique for predicting relationships between the input parameters of the three dimensional coordinates and the resulting soil classification and soil parameters output. So, Artificial Neural Networks can be considered as an effective tool for predicting the soil classification in Khartoum. en_US
dc.publisher UOFK en_US
dc.title Soil Profile Prediction Using Artificial Neural Networks in Sudan en_US
dc.type Thesis en_US
dc.Degree M.Sc en_US
dc.Faculty Engineering en_US

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