A proposed hybrid rainfall simulation model: bootstrap aggregated classification tree-artificial neural network (BACT-ANN) for the Langat River Basin, Malaysia
Climate change is a global issue posing threats to the human population and water systems. As Malaysia experiences a tropical climate with intense rainfall occurring throughout the year, accurate rainfall simulations are particularly important to provide information for climate change assessment and...
Saved in:
Main Authors: | Lian, Chau Yuan, Huang, Yuk Feng, Ng, Jing Lin, Mirzaei, Majid, Koo, Chai Hoon, Tan, Kok Weng |
---|---|
Format: | Article |
Published: |
IWA PUBLISHING
2020
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/36225/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of a Combined Classification Decision Tree and Artificial Neural Network Rainfall Generator for Langat River Basin
by: Lian, Chau Yuan
Published: (2018) -
Uncertainty analysis of rainfall depth duration frequency curves using the bootstrap resampling technique
by: Ng, Jing Lin, et al.
Published: (2019) -
Uncertainty analysis of rainfall depth duration frequency curves using the bootstrap resampling technique
by: Ng, Jing Lin, et al.
Published: (2019) -
BacteNina produk probiotik tempatan
by: Nor Azma, Laila
Published: (2019) -
BacteNina produk probiotik tempatan
by: Nor Azma Laila
Published: (2021)