Rice Predictive Analysis Mechanism Utilizing Grey Wolf Optimizer-Least Squares Support Vector Machines

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Rice Predictive Analysis Mechanism Utilizing Grey Wolf Optimizer-Least Squares Support Vector Machines

A good selection of Least Squares Support Vector Machines (LSSVM) hyper-parameters' value is crucial in order to obtain a promising generalization on the unseen data. Any inappropriate value set to the hyper parameters would directly demote the prediction performance of LSSVM. In this regard,...

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Bibliographic Details
Main Authors:	Zuriani, Mustaffa, M. H., Sulaiman
Format:	Article
Language:	English
Published:	Asian Research Publishing Network (ARPN) 2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/16363/ http://umpir.ump.edu.my/id/eprint/16363/1/PRICE%20PREDICTIVE%20ANALYSIS%20MECHANISM%20UTILIZING%20GREY%20WOLF_ARPN.pdf

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