Design of Ballistic Consistency Based on Least Squares Support Vector Machine and Particle Swarm Optimization

被引：0
|
作者：
张宇宸 [1 ]
杜忠华 [1 ]
戴炜 [2 ]
机构：
[1] School of Mechanical Engineering,Nanjing University of Science and Technology
来源：
TransactionsofNanjingUniversityofAeronauticsandAstronautics | 2015年 / 32卷 / 05期
基金：
中国国家自然科学基金;
关键词：
ballistic matching; least squares support vector machine; particle swarm optimization; curve fitting;
D O I：
10.16356/j.1005-1120.2015.05.549
中图分类号：
TJ410 [一般性问题]; TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 082603 ; 0835 ; 1405 ;
摘要：
In order to improve the firing efficiency of projectiles,it is required to use the universal firing table for gun weapon system equipped with a variety of projectiles.Moreover,the foundation of sharing the universal firing table is the ballistic matching for two types of projectiles.Therefore,a method is proposed in the process of designing new type of projectile.The least squares support vector machine is utilized to build the ballistic trajectory model of the original projectile,thus it is viable to compare the two trajectories.Then the particle swarm optimization is applied to find the combination of trajectory parameters which meet the criterion of ballistic matching best.Finally,examples show the proposed method is valid and feasible.
引用
收藏
页码：549 / 554
页数：6
相关论文
共 50 条
  • [1] Design of ballistic consistency based on least squares support vector machine and particle swarm optimization
    Zhang, Yuchen
    Du, Zhonghua
    Dai, Wei
    Transactions of Nanjing University of Aeronautics and Astronautics, 2015, 32 (05) : 549 - 554
  • [2] Feature Selection Algorithm Based on Least Squares Support Vector Machine and Particle Swarm Optimization
    Song Chuyi
    Jiang Jingqing
    Wu Chunguo
    Liang Yanchun
    ADVANCES IN SWARM INTELLIGENCE, PT II, 2011, 6729 : 275 - +
  • [3] Power Transformer Fault Diagnosis Based on Least Squares Support Vector Machine and Particle Swarm Optimization
    Ma, Xio
    INTELLIGENT STRUCTURE AND VIBRATION CONTROL, PTS 1 AND 2, 2011, 50-51 : 624 - 628
  • [4] Parameter optimization of least squares support vector machine based on improved particle swarm optimization in fault diagnosis of transformer
    Jia, Rong
    Zhang, Yun
    Hong, Gang
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2010, 38 (17): : 121 - 124
  • [5] Blasting vibration velocity prediction based on least squares support vector machine with particle swarm optimization algorithm
    Yuan, Qing
    Zhai, Shihong
    Wu, Li
    Chen, Peishuai
    Zhou, Yuchun
    Zuo, Qingjun
    GEOSYSTEM ENGINEERING, 2019, 22 (05) : 279 - 288
  • [6] Least squares support vector machine model optimized by particle swarm optimization for electricity price forecasting
    Zhu, Jin-Rong
    Wang, Xue-Feng
    Liu, Jiang-Yan
    Journal of Beijing Institute of Technology (English Edition), 2008, 17 (SUPPL.): : 12 - 16
  • [7] Least squares support vector machine model optimized by particle swarm optimization for electricity price forecasting
    Zhu Jinrong
    Wang Xuefeng
    Liu Jiangyan
    TIRMDCM 2007: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON TECHNOLOGY INNOVATION, RISK MANAGEMENT AND SUPPLY CHAIN MANAGEMENT, VOLS 1 AND 2, 2007, : 612 - 616
  • [8] Identification of Adulteration of Sesame Oils Using Least Squares Support Vector Machine Coupled with Particle Swarm Optimization and Partial Least Squares
    Bi Yan-Lan
    Ren Xiao-Na
    Peng Dan
    Yang Guo-Long
    Zhang Lin-Shang
    Wang Xue-De
    CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2013, 41 (09) : 1366 - 1372
  • [9] Prediction of Carbon Dioxide Solubility in Polymers Based on Adaptive Particle Swarm Optimization and Least Squares Support Vector Machine
    Chen, Huijie
    Zeng, Ming
    Zhang, Hang
    Chen, Bingsheng
    Guan, Lixin
    Li, Mengshan
    CHEMISTRYSELECT, 2022, 7 (03):
  • [10] Application of Least Squares Support Vector Machine Based on Particle Swarm Optimization in Tidal Current Prediction of Offshore Microgrid
    Yuan, Haiyun
    Xu, Song
    Sun, Yangfan
    Li, Qian
    Zhang, Anan
    2021 INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SOCIAL INTELLIGENCE (ICCSI), 2021,
12345