Research on The Precision Measuration of Airborne Fire Control System Based on SVR

摘要

In this paper, we try to discuss the application of Support Vector Regression (SVR) on time series prediction. We first present the basic ideas of SVR for time series prediction, and then apply the method in the precision measuration of airborne fire control system. We compared it with the common method of Box-Jenkins. The result indicates that the method of SVR can bring accurate learning precision and better prediction generalization ability in the process of measuring the precision of fire control system.