An Improved Grid Search Algorithm for Parameters Optimization on SVM
Chao Liu, Shi Qun Yin, Miao Zhang, Yi Zeng, Jiang Yue Liu · Applied Mechanics and Materials · 2014
The algorithm in this paper is based on the basic principle of SVM. The sale data classification SVM classifier is designed using this algorithm. Also three classifiers including traditional grid search algorithm, ZGenetic Algorithm and Particle Swarm Optimization are used to do the comparison experiments of classification. Result shows that the improved grid-search algorithm can reduce the SVM classifier’s computational complexity effectively and improve its performance and classification accuracy.