Application of radial basis function neural networks for modeling rainfall-runoff processes: a case study of Semenyih River catchment, Malaysia
The gradual transformation of arable lands into urbanized environments in built-up areas is common in fast developing countries like Malaysia. Such changes have a large effect on hydrologic processes in the catchment area, which eventually results in an increase of both the magnitude and frequency o...
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Main Authors: | , , , |
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Format: | Article |
Published: |
2016
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/68864/ http://www.scopus.com |
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Institution: | Universiti Teknologi Malaysia |