Artificial neural networks for rainfall runoff modelling with special reference to Sg. Bedup catchment area
Artificial Neural Network (ANN) is an information-processing system composed of many nonlinear and densely interconnected processing elements or neurons. ANN is able to extract the relation between the inputs and outputs of a process, without the physics being explicitly provided to them. The natura...
Saved in:
Main Author: | Kuok, King Kuok |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2004
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/3137/1/Kuok.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effects of tides and surface runoff on channel geometry
by: Mustafa, Zulkifli
Published: (2007) -
Hydraulic performance of an artificial mangrove root system
by: Eldina Fatimah, Eldina Fatimah
Published: (2008) -
Water level prediction for rivers under tidal influence using artificial neural network
by: Rosmina, Binti Ahmad Bustami
Published: (2005) -
Perception of the local community and the role of local authority on flood problem in Sg Maong area, Kuching division, Sarawak : a case study of wee & wee Garden
by: Lai, Chin Moi
Published: (2005) -
Modeling of non point source pollution from residental and commercial catchments in Skudai, Johor
by: Rahmat, Siti Nazahiyah
Published: (2005)