An Improved LS-SVM Based on Quantum PSO Algorithm and Its Application

Authors:
Guofeng Pan;Kewen Xia;Yao Dong;Jin Shi
Affiliations:
Hebei University of Technology, China;Hebei University of Technology, China;Hebei University of Technology, China;Hebei University of Technology, China
Venue:
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 02
Year:
2007

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Abstract

In order to avoid the problem of inverse matrix calculation in LS-SVM algorithm, an improved LS-SVM based on quantum PSO algorithm is presented, the main process is to encode the particle swarm with quantum bit, then solve the linear equation set with the iterative quantum PSO algorithm. So the training velocity of LS-SVM algorithm is improved, the computer memory is saved, and the least square solution is always obtained. The actual application in Changqing oil-field indicates the application effect is better than that of classical SVM and LM neural network in oil layer recognition, the improved LS-SVM algorithm not only improves the accuracy of recognition, but also accelerates the velocity of convergence, and the result of oil layer recognition is fully accord with that of oil trial.