A HYBRID LEAST SQUARES SUPPORT VECTOR MACHINE WITH BAT AND CUCKOO SEARCH ALGORITHMS FOR TIME SERIES FORECASTING

A HYBRID LEAST SQUARES SUPPORT VECTOR MACHINE WITH BAT AND CUCKOO SEARCH ALGORITHMS FOR TIME SERIES FORECASTING

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Least Squares Support Vector Machine (LSSVM) has been known to be one of the effective forecasting models. However, its operation relies on two important parameters (regularization and kernel). Pre-determining the values of parameters will affect the results of the forecasting model; hence, to find...

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Bibliographic Details
Main Authors: Athraa Jasim Mohammed, Khalil Ibrahim Ghathwan, Yuhanis Yusof
Format: Article
Language:English
Published: UUM Press 2020-06-01
Series:Journal of ICT
Subjects:
Machine learning
data mining
time series forecasting
least squares support vector machine
particle swarm optimization
Online Access:https://e-journal.uum.edu.my/index.php/jict/article/view/12387

Internet

https://e-journal.uum.edu.my/index.php/jict/article/view/12387

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