Short term forecasting based on hybrid least squares support vector machines

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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...

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Bibliographic Details
Main Authors:	Zuriani, Mustaffa, M. H., Sulaiman, Ernawan, Ferda, Noorhuzaimi, Mohd Noor
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA76 Computer software
Online Access:	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

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