Short term forecasting based on hybrid least squares support vector machines
Flood is one of the common natural disasters that have caused universal damage throughout the world. Due to that matter, reliable flood forecasting is crucial for the purpose of preventing loss of life and minimizing property damage. In this study, hybrid Least Squares Support Vector Machines (LSSVM...
Main Authors: | Zuriani, Mustaffa, M. H., Sulaiman, Ernawan, Ferda, Noorhuzaimi, Mohd Noor |
---|---|
Format: | Article |
Language: | English |
Published: |
American Scientific Publisher
2018
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/19448/ http://umpir.ump.edu.my/id/eprint/19448/ http://umpir.ump.edu.my/id/eprint/19448/ http://umpir.ump.edu.my/id/eprint/19448/1/29.%20Short%20Term%20Forecasting%20based%20on%20Hybrid%20Least%20Squares%20Support%20Vector%20Machines1.pdf |
Similar Items
-
Hybrid least squares support vector machines for short term predictive analysis
by: Zuriani, Mustaffa, et al.
Published: (2017) -
Belajar Least Squares Support Vector Machines (LS-SVM) dalam masa seminggu
by: Mohd Herwan, Sulaiman, et al.
Published: (2017) -
Rice Predictive Analysis Mechanism Utilizing Grey Wolf Optimizer-Least Squares Support Vector Machines
by: Zuriani, Mustaffa, et al.
Published: (2015) -
An Application of Radial Basis Function Neural Network for Short Term Load Forecasting Solution
by: Nurul Faezah, Othman, et al.
Published: (2018) -
Hybrid Metaheuristic Algorithm for Short Term Load Forecasting
by: Zuriani, Mustaffa, et al.
Published: (2016)