University of Khartoum

SOIL PROFILE PREDICTION IN KHARTOUM USING ARTIFICIAL NEURAL NETWORKS

SOIL PROFILE PREDICTION IN KHARTOUM USING ARTIFICIAL NEURAL NETWORKS

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Title: SOIL PROFILE PREDICTION IN KHARTOUM USING ARTIFICIAL NEURAL NETWORKS
Author: Elarabi, Hussien; Abass, Yasir
Abstract: Artificial Neural Networks (ANNs) are a form of Artificial Intelligence. ANNs are used for soil classification prediction in specified locations at different depths, based on the available site investigation data from a specific area in Sudan. 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 ANNs can be considered as an effective tool for predicting the soil classification in Khartoum.
Description: SOIL PROFILE PREDICTION IN KHARTOUM USING ARTIFICIAL NEURAL NETWORKS
URI: http://hdl.handle.net/123456789/5079
Date: 2007-11


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