基于海洋环境影响因素的舰载武器作战效能模型研究
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摘要
随着现代海上战争应用科学技术水平的不断提高,纳入舰载武器装备作战效能影响分析的因素也越来越多,战争的要求更加趋于精细化。依托海洋环境的海战场素以"复杂"著称,水面舰艇作为战场中的主要角色,其上各种武器、传感器都在不同程度上受到海洋环境的影响,如何能够根据海洋环境对舰载武器装备打击效能进行合理评估,为指挥人员提供正确的辅助决策信息成为了当前迫切需要解决的问题。论文结合影响舰载武器效能发挥的主要海洋环境因素,以导弹武器为例,首先对海洋环境影响因素量化分析,利用BP神经网络自适应性和学习性强的特点,通过样本数据的扩充和神经网络的学习,最终确定影响阈值,建立了一种通用的作战效能评估模型。
With the increasing use of science and technology in modern sea battle,more and more information is required to be considered in the usage of the weaponry,including the main environment of the sea battle:marine environment. Surface naval ships are one of the most important sea battle troops. The weapons and sensors of the surface warships are subject to different degrees of impact by marine environment. This paper proposes a method to determine the weights of effect of the weaponry by the marine environment factors,it is an urgent problem that how to evaluate combat effectiveness of the weapons on the ship to provide the correct decision for the commanders. Firstly the marine environment factors are quantitative analyzed,by the strong features of the BP neural networks' s adaptability and learning,by constantly expanding the sample data and learning of the neural networks,the impact of weight is ultimately determined,a general model of operational effectiveness is built. The proposed method provides preliminary ideas for the future establishment of an auxiliary integrated surface warships' combat applications based on the marine environment.
With the increasing use of science and technology in modern sea battle,more and more information is required to be considered in the usage of the weaponry,including the main environment of the sea battle:marine environment. Surface naval ships are one of the most important sea battle troops. The weapons and sensors of the surface warships are subject to different degrees of impact by marine environment. This paper proposes a method to determine the weights of effect of the weaponry by the marine environment factors,it is an urgent problem that how to evaluate combat effectiveness of the weapons on the ship to provide the correct decision for the commanders. Firstly the marine environment factors are quantitative analyzed,by the strong features of the BP neural networks' s adaptability and learning,by constantly expanding the sample data and learning of the neural networks,the impact of weight is ultimately determined,a general model of operational effectiveness is built. The proposed method provides preliminary ideas for the future establishment of an auxiliary integrated surface warships' combat applications based on the marine environment.
引文
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[2]高尚,娄寿春.武器系统效能评定方法综述[J].系统工程理论与实践,1998,18(7):109-114.
[3]于海泳,倪小清,杨鹏,等.海洋水文气象对驱护舰兵力作战效能影响研究[J].舰船电子工程,2014,34(10):114-118.
[4]徐瑞恩.武器装备效能模型和方法概论[J].装备指挥技术学院学报,2002,13(1):1-4.
[5]张振涛.海洋环境下武器装备作战效能评估与系统实现[D].南京:东南大学,2015.
[6]方书甲.海洋环境要素纳入战场辅助决策的技术探讨[J].舰船科学技术,2008,30(3):22-25.
[7]徐勇,邹振华.海洋环境对舰载鱼雷效能的影响评估[J].舰船电子工程,2009,29(7):177-184.
[8]匡贡献,谢志敏.海洋环境对吊放声纳作战使用影响研究[J].海军航空工程学院学报,2010,25(1):24-27.
[9]韩小冬,高太长,刘西川,等.大气环境对激光制导武器的影响[J].气象水文海洋仪器,2009(2):26-30.
[10]陈栋,朱文越,黄印博,等.海洋大气湍流对海军光电装备性能的影响[J].红外与激光工程,2010,39(2):206-212.
[11]黄丽. BP神经网络算法改进及应用研究[D].重庆:重庆师范大学,2008.
[12]Burke H B,Rosen D B,Goodman P H.Comparing artificial neural networks to other statistical methods for medical outcome prediction[C]//IEEE International Conference on Neural Networks. Orlando American:[s.n.],1994:2213-2216.
[13]崔鹏飞,严洪森,范金松.海洋环境下武器装备作战效能自学习评估模型[J].计算机技术与发展,2013,23(2):32-36.
[14]卞凤兰,黄晓明,刘睿.城市化进程中公路网用地的BP神经网络预测模型[J].东南大学学报(自然科学版),2010,40(5):1073-1076.