基于数据驱动的迭代学习算法在导弹突防能力评估中的应用

Application of Iterative Learning Algorithm Based on Data Driving to The Evaluation of Missile Penetration Capability

突防能力是导弹的一项重要指标。根据导弹的特点和作战应用,对其突防能力进行了建模研究,针对目前导弹突防能力评估存在的局限性,采用基于迭代学习算法的指数标度法,对导弹突防能力进行了评估,对导弹作战效能评估有重要的意义。结果表明该评估方法具有有效性和实用性。

Penetration capability is an important index of the missile.This paper performs the modeling and research into its penetration capability according to the characteristics and operation,aiming at the boundedness existed in the current evaluation of missile penetration capability,adopts the index scale method based on iterative learning algorithm,evaluates the missile penetration capability,which is of important meaning for the operational effectiveness evaluation of the missile.Results show that the evaluation method has effectiveness and practicability.