Combat effectiveness evaluation method of photoelectric defense system based on SVM optimized by particle swarm algorithm

The combat effectiveness is an important indicator of the photoelectric defense system quality. When used in combat, the influence factors of the combat effectiveness are complex and show a nonlinear relationship. This paper proposes to apply the SVM to combat effectiveness evaluation, propose the thought of making the photoelectric defense system combat effectiveness value to different “classification”. For the problem of the structure of SVM is difficult to determine, this paper puts forward to optimize the structure of SVM by the particle swarm algorithm. The example verifies the validity of the methods above, which overcome the weakness of the expert decision-making system not easy to modify and the poor quality of the adaptive ability.