基于ANGM(1,1)和PSO-BP神经网络组合模型的身管烧蚀磨损量预测

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    Published By: Journal of Gun Launch & Control

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Journal of Gun Launch & Control ›› 2022, Vol. 0 ›› Issue (6) : 73-78. DOI: 10.19323/j.issn.1673-6524.2022.06.012

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[1]焦贵伟,胡朝根.火炮身管寿命评估预测[J].兵器装备工程学报,2018,39(5):66-69,74. [2]陈国利,韩海波,于东鹏.BP神经网络的身管寿命预测方法[J].火力与指挥控制,2008,33(9):146-148. [3]朱喜华,李颖晖,王群力,等.基于随机Wiener过程的火炮身管剩余寿命预测[J].科学技术与工程,2021,21(5):1802-1805. [4]李松,刘力军,翟曼.改进粒子群算法优化BP神经网络的短时交通流预测[J].系统工程理论与实践,2012,32(9):2045-2049. [5]廖俊勃,李燕,杨军锋,等.基于改进支持向量回归机的火炮身管寿命预测[J].火力与指挥控制,2017,42(9):183-186. [6]王国辉,张宝栋,李向荣.基于遗传算法的BP神经网络火炮身管烧蚀磨损量预测[J].火炮发射与控制学报,2019,40(4):6-10,15. [7]孟翔飞,王昌明,何博侠,等.火炮身管烧蚀磨损的灰色预测模型[J].四川兵工学报,2013,34(3):5-7,11. [8]易怀军,张相炎,丁传俊,等.基于组合灰色神经网络模型的火炮身管烧蚀磨损量预测[J].火炮发射与控制学报,2015,36(3):81-85. [9]刘思峰,谢乃明.灰色系统理论及其应用[M].北京:北京科学出版社,2008:1-10. [10]TSENGFM,YUHsiao-Cheng,TZENGGH.Appliedhybridgreymodeltoforecastseasonaltimeseries[J].TechnologicalForecastingandSocialChange,2001,67(2/3):291-302. [11]陆剑锋,党耀国,丁松.初始条件自适应优化的ANGM(1,1)模型及其应用[J].系统工程理论与实践,2020,40(10):2728-2736. [12]熊萍萍,党耀国,姚天祥.基于初始条件优化的一种非等间距GM(1,1)建模方法[J].控制与决策,2015,30(11):2097-2102. [13]CHENGRan,JINYaochu.Asociallearningparticleswarmoptimizationalgorithmforscalableoptimization[J].InformationSciences,2015,291:43-60. [14]LIUYang,ZHANGXuejun,GUANXiangmin,etal.Adaptivesensitivitydecisionbasedpathplanningalgorithmforunmannedaerialvehiclewithimprovedparticleswarmoptimization[J].AerospaceScienceandTechno-logy,2016,58:92-102. [15]张喜发,卢兴华.火炮烧蚀内弹道学[M].北京:国防工业出版社,2001:140-141.

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