Predicting Hydraulic conductivity (k) of tropical soils by using artificial neural network (ANN)

Lim, D.K.H and Kolay, P.K (2009) Predicting Hydraulic conductivity (k) of tropical soils by using artificial neural network (ANN). UNIMAS E-Journal of civil Engineering, 1 (1).

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Abstract

Hydraulic conductivity of tropical soils is very complex. Several hydraulic conductivity prediction methods have focuses on laboratory and field tests, such as Constant Head Test, Falling Head Test, Ring Infiltrometer, Instantaneous profile method and Test basin. This study demonstrate the comparison between the conventional estimation of k by using Shepard's equation for approximating k and the predicted k from ANN.

Item Type: Article
Uncontrolled Keywords: Tropical soils, hydraulic conductivity, Artificial neural Network, ANN, research, UNIMAS, Universiti Malaysia Sarawak, 2009, engineering, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 09 Jun 2014 06:54
Last Modified: 23 Mar 2015 03:32
URI: http://ir.unimas.my/id/eprint/3106

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