Comparative Study of Hybrid Support Vector Regression Drought Forecasting Models for Langat River Basin
Saved in:
Main Author: | Fung, Kit Fai |
---|---|
Format: | Final Year Project / Dissertation / Thesis |
Published: |
2018
|
Subjects: | |
Online Access: | http://eprints.utar.edu.my/3021/1/Dissertation.pdf http://eprints.utar.edu.my/3021/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Flood forecasting in Langat river basin using stochastic Arima model
by: Yap, Wai Kit
Published: (2015) -
Severity of Hydrological Drought in the Lui River Basin, Hulu Langat, Selangor
by: Nordin Sakke, et al.
Published: (2016) -
Compare the forecasting method of artificial neural network and support vector regression model to measure the bullwhip effect in supply chain
by: Fradinata, E., et al.
Published: (2019) -
Flood forecasting of Malaysia Kelantan river using support vector regression technique
by: Faruq, Amrul, et al.
Published: (2021) -
Prediction of meteorological drought by using hybrid support vector regression optimized with hho versus pso algorithms
by: Malik, Anurag, et al.
Published: (2021)