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导弹与制导技术

地空导弹生存能力预测模型的构建与应用

  • 解武杰 ,
  • 王瑛 ,
  • 申卯兴 ,
  • 张天明
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  • 1 空军工程大学工程学院,西安 710038
    2 第二炮兵工程学院,西安 710025
    3 空军工程大学导弹学院,陕西三原 713800

解武杰(1967-)男,陕西韩城人,副教授,研究方向:系统工程。

收稿日期: 2011-03-05

  网络出版日期: 2025-05-29

基金资助

国家自然科学基金(60304004/F030101)

The Modeling and Application of Surface-to-air Missile Survivability Prediction Model

  • XIE Wujie ,
  • WANG Ying ,
  • SHEN Maoxing ,
  • ZHANG Tianming
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  • 1 The Engineering Institute, Air Force Engineering University, Xi'an 710038, China
    2 The Second Artillery Engineering College, Xi'an 710025, China
    3 The Missile Institute, Air Force Engineering University, Shaanxi Sanyuan 713800,China

Received date: 2011-03-05

  Online published: 2025-05-29

摘要

为实现对地空导弹生存能力的科学预测,构建了基于生存能力需求分析的评价指标。分别采用BP-GDM模型、BP-LM模型和GA-BP-LM模型对数据进行了训练和预测,仿真结果表明:BP-GDM模型预测精度最差,仿真耗时较长,GA-BP-LM模型预测精度较高,耗时最短,BP-LM模型居中。此外GA-BP-LM模型相对误差值波动幅度最小,平均相对误差仅为3.33%,达到了预测的精度要求。

本文引用格式

解武杰 , 王瑛 , 申卯兴 , 张天明 . 地空导弹生存能力预测模型的构建与应用[J]. 弹箭与制导学报, 2012 , 32(1) : 45 -48 . DOI: 10.15892/j.cnki.djzdxb.2012.01.035

Abstract

In order to scientifically predict the surface-to-air missile's survivability, the evaluation index was established based on the survivability demand analysis. The BP-LM model and GA-BP-LM model were used to train and predict data. The simulation result shows that the forecast precision of BP-GDM model is the worst and much simulation time was consumed, the GA-BP-LM gains the best forecast precision and costs the least time, BP-LM is moderate. Furthermore, the GA-BP-LM model has the smallest opposite error fluctuation, and the average opposite error value is only 3.33%, which matches well with the expected requirement.

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参考文献

[1]
孙玉涛, 路建伟, 冷振华. 复杂电磁环境下地空导弹系统生存能力评估[J]. 电光与控制, 2010. 17 (8): 68- 72.
[2]
段立波, 王凤山, 庄瑾. 火力对抗条件下地空导弹混编群的生存能力模型[J]. 航空计算技术, 2007. 37 (6): 26- 28.
[3]
赵海波, 周林. 电子干扰条件下地空导弹射击能力评估模型研究[J]. 弹箭与制导学报, 2007. 27 (1): 351- 353.
[4]
黄建国, 罗航, 王厚军,等. 运用 GA-BP神经网络研究时间序列的预测[J]. 电子科技大学学报, 2009. 38 (5): 687- 692.
[5]
Yang L, Dawson CW, Brown M R, et al. Neural network and GA approaches for dwelling fire occurrence prediction[J]. Knowledge-Based Systems, 2006. 19 (4): 213- 219.
[6]
Bareau B, Teliala I, Kaisa S. Neural networks and genetic algorithms for bankruptcy predictions[J]. Expert Systems With Applications, 1996. 11 (4): 407- 413.
[7]
辛永平, 李军, 袁志树. 防空导弹武器系统生存能力评价[J]. 空军工程大学学报:自然科学版, 2002. 3 (5): 32- 33.
[8]
彭立影, 甘传付, 熊菊水. 地空导弹装备战备完好性指标确定方法研究[J]. 弹箭与制导学报, 2010. 30 (6): 63- 65.
[9]
RongboW, Zheru Chi. Automatic segmentation of Chinese chunks using a neural network[J]. Neural Networks and Signal Processing, Toulouse, 2003 (1): 96- 99.
[10]
葛哲学, 孙志强. 神经网络理论与MTALABR2007实现[M]. 北京: 电子工业出版社, 2008.
[11]
农吉夫, 黄文宁. 基于主成分分析的 BP 神经网络长期预报模型[J]. 广西师范学院学报:自然科学版, 2008 (25): 46- 51.
[12]
史峰, 王小川, 郁磊,等. MATLAB 神经网络30个案例分析[M]. 北京: 北京航天航空大学出版社, 2010: 23- 24.
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