Hybrid least squares support vector machines for short term predictive analysis

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Hybrid least squares support vector machines for short term predictive analysis

Moth-flame Optimization (MFO) algorithm is a relatively new optimization algorithm which is classified as Swarm Intelligence (SI). It is inspired by unique behavior of moths in nature. Despite its young age, this algorithm has been proven to be able to address many optimization problems. With respec...

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Bibliographic Details
Main Authors:	Zuriani, Mustaffa, Ernawan, Ferda, M. H., Sulaiman, Syafiq Fauzi, Kamarulzaman
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2017
Subjects:	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/17656/ http://umpir.ump.edu.my/id/eprint/17656/1/Hybrid%20Least%20Squares%20Support%20Vector%20Machines%20for%20Short%20Term%20Predictive%20Analysis.pdf http://umpir.ump.edu.my/id/eprint/17656/7/Hybrid%20least%20squares%20support%20vector%20machines%20for%20short%20term%20predictive%20analysis.pdf

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