基于PSO-SVM的空中目标智能融合识别模型

Air targets'Intelligent Fusion Recognition Model Based on PSO-SVM

支持向量机(SVM)算法能较好地解决传感器数据不完整、缺失情况。针对SVM关键参数难以选择问题,提出了基于粒子群-SVM算法空中目标智能融合识别模型。结合工程需求,进行仿真。仿真结果表明,该算法能较精确地识别目标。

support vector machine （SVM） algorithm can solve problems of sensor data＇s un-integrity and loss preferably. Aiming at the problem of difficulty of choosing key parameter in SVM, the intelligent fusion recognition model of air targets based on PSO-SVM is presented. Simulation had been done with requirements of engineering. The simulation＇s result educed that the algorithm can by and large accurately recognize targets.