Short term forecasting based on hybrid least squares support vector machines

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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Detalhes bibliográficos
Principais autores: Zuriani, Mustaffa, M. H., Sulaiman, Ernawan, Ferda, Noorhuzaimi, Mohd Noor
Formato: Artigo
Idioma:English
Publicado em: American Scientific Publisher 2018
Assuntos:
QA76 Computer software
Acesso em linha:http://umpir.ump.edu.my/id/eprint/19448/1/29.%20Short%20Term%20Forecasting%20based%20on%20Hybrid%20Least%20Squares%20Support%20Vector%20Machines1.pdf

Internet

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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