指挥控制与仿真2016，Vol.38Issue(2)：10-14,5.DOI:10.3969/j.issn.1673-3819.2016.02.003
基于混沌双扰动的CDDP SO-BP目标威胁估计方法∗
CDDP SO-BP Target Threat Estimation Method Based on Chaos Double Disturbance
摘要
Abstract
Target threat assessment technology has been proposed higher and higher request by battlefield environment under information condition. A kind of CDDPSO⁃BP target threat estimation method based on chaotic double disturbance is put for⁃ward. Focusing on the defect of particle swarm algorithm easy to falling into precocious and unstable in searching the best val⁃ue, a chaotic double disturbance thinking based on Tent map is proposed and applied to the evolutionary process of particle swarm algorithm to improve the PSO algorithm. Then, the initial weights and thresholds of the BP neural network have been trained with the new algorithm, so that the target threat assessment model and algorithm is established. Finally, the simula⁃tion result proves that the proposed target threat estimation algorithm has higher accuracy.关键词
目标威胁估计/Tent映射/粒子群/神经网络/混沌Key words
target threat assessment/Tent map/particle swarm/Neural Networks/Chaos分类
军事科技引用本文复制引用
杨露菁,彭业飞,周恭谦..基于混沌双扰动的CDDP SO-BP目标威胁估计方法∗[J].指挥控制与仿真,2016,38(2):10-14,5.基金项目
总装预研基金 （）
