In this paper the hybrid and modified versions of the PSO algorithm applied to improvement of the search characteristics of the classical PSO algorithm in the development problem of the SVM classifier have been offere...
详细信息
In this paper the hybrid and modified versions of the PSO algorithm applied to improvement of the search characteristics of the classical PSO algorithm in the development problem of the SVM classifier have been offered and investigated. A herewith two hybrid versions of the PSO algorithm assume the use of the classical "Grid Search" (GS) algorithm and the "Design of Experiment" (DOE) algorithm accordingly, and the modified version of the PSO algorithm realizes the simultaneous search of the kernelfunction type, the parameters values of the kernelfunction, and also the regularization parameter value. Besides, the questions of applicability of the k nearest neighbors (kNN) algorithm in the development problem of the SVM classifier have been considered. (C) 2017 The Authors. Published by Elsevier R.V.
In this paper the hybrid and modified versions of the PSO algorithm applied to improvement of the search characteristics of the classical PSO algorithm in the development problem of the SVM classifier have been offere...
详细信息
In this paper the hybrid and modified versions of the PSO algorithm applied to improvement of the search characteristics of the classical PSO algorithm in the development problem of the SVM classifier have been offered and investigated. A herewith two hybrid versions of the PSO algorithm assume the use of the classical “Grid Search” (GS) algorithm and the “Design of Experiment” (DOE) algorithm accordingly, and the modified version of the PSO algorithm realizes the simultaneous search of the kernelfunction type, the parameters values of the kernelfunction, and also the regularization parameter value. Besides, the questions of applicability of the k nearest neighbors (kNN) algorithm in the development problem of the SVM classifier have been considered.
暂无评论