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Neural Computing and Applications

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01.02.2014 | Original Article

Prediction of soil erodibility factor for Peninsular Malaysia soil series using ANN

verfasst von: Mohd Fazly Yusof, H. Md. Azamathulla, Rozi Abdullah

Erschienen in: Neural Computing and Applications | Ausgabe 2/2014

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Abstract

Soil erodibility factor (susceptibility of soil to be lost to erosion) is one of the components of the universal soil loss equation. This study presents an artificial neural network (ANN) model using 74 soil series provided by the Department of Agriculture, Malaysia. The ANN model produces acceptable results: the K values for 74 soil series of Peninsular Malaysia give much better information to engineers in determining the soil loss and sediment yield for a given development area.

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Titel: Prediction of soil erodibility factor for Peninsular Malaysia soil series using ANN
verfasst von: Mohd Fazly Yusof
H. Md. Azamathulla
Rozi Abdullah
Publikationsdatum: 01.02.2014
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 2/2014
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-012-1236-3

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