University of Khartoum

Developing of prediction models for soil profile and its parameters using Artificial Neural Networks

Developing of prediction models for soil profile and its parameters using Artificial Neural Networks

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Title: Developing of prediction models for soil profile and its parameters using Artificial Neural Networks
Author: Elarabi, Hussein; Taha, Nahed
Abstract: Artificial neural networks (ANNs) are a form of artificial intelligence (AI), which in their architecture attempt to simulate the biological structure of the human brain and nervous system. In this report, back-propagation neural networks are used to predict soil classification and soil parameters of Khartoum State. The study was based on the available data collected from specified areas in Khartoum, and then the results were compared with data brought from actual boreholes to check the ANN model validity. The results indicate that artificial neural networks are a promising method in predicting soil classification and soil parameters of Khartoum State.
Description: Developing of prediction models for soil profile and its parameters using Artificial Neural Networks
URI: http://hdl.handle.net/123456789/4999
Date: 2014


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