An algorithm of multiple information fusion based on GA-LSSVM

Abstract:

In multiple sensor measurement and control system，there exists nonlinearity relationship between the tested coefficients and relevant parameters. A kind of model and algorithm of multiple sensor information fusion based on Genetic Algorithm and Least Squares Support Vector Machine(GA-LSSVM) are proposed in this paper. For improving accuracy of the model，genetic algorithm is recommended for parameter optimization because of its excellent global optimization ability. It is an effective way for modeling multiple sensor system of small sample, nonlinearity and high dimension. To verify the effectiveness of this method，a simple low-voltage load circuit system is adopted as an example，and the result shows that the model and algorithm have certain superiority in measuring precision and are easy to be promoted.