Consumption forecasting of missile spare parts based on rough set, entropy weight and improved SVM

被引：0
|
作者：
Zhao, Jian-Zhong [1 ,4 ]
Xu, Ting-Xue [2 ]
Liu, Yong [1 ]
Yin, Yan-Tao [3 ]
机构：
[1] Graduate Students' Brigade, Naval Aeronautical and Astronautical University, Yantai 264001, Shandong, China
[2] Department of Ordnance Science and Technology, Naval Aeronautical and Astronautical University, Yantai 264001, Shandong, China
[3] Department of Scientific Research, Naval Aeronautical and Astronautical University, Yantai 264001, Shandong, China
[4] 92752 Troups, Hefei 231614, Anhui, China
来源：
Binggong Xuebao/Acta Armamentarii | 2012年 / 33卷 / 10期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1258 / 1265
相关论文
共 50 条
  • [1] Consumption forecast of missile spare parts based on improved Theil coefficient
    Zhao, Jian-Zhong
    Xu, Ting-Xue
    Li, Hai-Jun
    Ye, Wen
    [J]. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2013, 35 (08): : 1681 - 1686
  • [2] Prediction of missile spare parts consumption based on time series
    Ma, Xiaowei
    Wang, Liuying
    Wang, Tao
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON MECHATRONICS ENGINEERING AND INFORMATION TECHNOLOGY (ICMEIT 2017), 2017, 70 : 354 - 360
  • [3] Consumption forecasting of missile spare parts based on wavelet transform and revised GM-ARMA model
    [J]. Zhao, J. (zjznavy@163.com), 1600, Beijing University of Aeronautics and Astronautics (BUAA) (39):
  • [4] An Improved Forecasting Algorithm for Spare Parts of Short Life Cycle Products Based on EMD-SVM
    Li, Jie
    Fan, Yeliang
    Xu, Yong
    Feng, Huiran
    [J]. PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CLOUD COMPUTING COMPANION (ISCC-C), 2014, : 722 - 727
  • [5] Svm Ensemble based on Improved Bagging and Rough Set
    Chen, Tao
    [J]. 2011 INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND MULTIMEDIA COMMUNICATION, 2011, : 66 - 69
  • [6] Spare Parts Consumption Rolling Forecasting Model Based on Grey LSSVM
    Liu, Shenyang
    Gao, Qi
    Ge, Yang
    Li, Zhiwei
    Li, Zhirong
    [J]. 26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 742 - 744
  • [7] Forecasting the consumption of spare parts in machines based on the content of wear particles in oil
    Irgashev, B. A.
    Irgashev, A. I.
    [J]. JOURNAL OF FRICTION AND WEAR, 2015, 36 (05) : 441 - 447
  • [8] Forecasting the consumption of spare parts in machines based on the content of wear particles in oil
    B. A. Irgashev
    A. I. Irgashev
    [J]. Journal of Friction and Wear, 2015, 36 : 441 - 447
  • [9] Research on Mining Classification Rules of Spare Parts Based on Grey Rough Set Theory
    Li Bo
    Zhang Ruifang
    [J]. ADVANCES IN MECHANICAL ENGINEERING, PTS 1-3, 2011, 52-54 : 1638 - 1643
  • [10] Combination Forecasting Based on SVM and Neural Network for Urban Rail Vehicle Spare parts Demand
    Han, Yulin
    Wang, Lu
    Gao, Jindong
    Xing, Zongyi
    Tao, Tao
    [J]. PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 4660 - 4665
12345