Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on have been published.Acc ording to news reporting originating from Shenyang University of Chemical Techno logy by NewsRx correspondents,research stated,"Support vector machine is a very classical and popular model for data prediction." Financial supporters for this research include Doctoral Start-up Foundation of L iaoning Province.Our news correspondents obtained a quote from the research from Shenyang Univers ity of Chemical Technology:"Traditional support vector machines use grid search to determine its parameters.In order to improve the accuracy of prediction,mo re and more frameworks are proposed.Among them,the combination of support vect or machine and intelligent optimization algorithm is the most commonly used solu tion at present.The optimization objective is to determine the optimal penalty factor and kernel parameters of support vector machine to improve the prediction performance.In this paper,10 intelligent optimization algorithms that are wid ely used at present are used for the optimization research of support vector mac hine.The performance of these optimization algorithms in support vector machine parameter optimization is analyzed in detail."
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