University of Khartoum

Comparison of different methods of application of neural network on soil profile of Khartoum state

Comparison of different methods of application of neural network on soil profile of Khartoum state

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Title: Comparison of different methods of application of neural network on soil profile of Khartoum state
Author: Elarabi, Hussein
Abstract: Abstract: Within the last years, four methods have been developed to predict the soil profile and its parameters in Sudan. However, a method making such predictions with the required degree of accuracy and consistency has not yet been developed. In this paper, artificial neural networks, ANNs are used in an attempt to compare between these methods by applying them on large zone contains many sites to select a unified method. A large database of actual measured is used to develop and verify the ANN model. The predicted soil profile found by utilizing ANNs is compared between them. The results indicate that ANNs are a useful technique for predicting the soil profile and its parameters when using anyone of the compared methods.
Description: Comparison of different methods of application network on soil profile of Khartoum state
URI: http://hdl.handle.net/123456789/5002
Date: 2014-01-30


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