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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/68864/ http://www.scopus.com |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |