Weibull Distribution Parameter Estimation of the Algorithm Based on the Improved Flies

被引：0
|
作者：
Ji Xiu [1 ,2 ]
Wang Hui [1 ,2 ]
Zhao Chuan-qi [1 ,2 ]
Si Yuan [1 ,2 ]
机构：
[1] Changchun Inst Technol, Coll Elect & Informat Engn, Changchun 130012, Peoples R China
[2] Publ Technol Res & Dev Ctr Distribut Equipment Au, Changchun 130012, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS | 2015年 / 13卷
关键词：
Weibull distribution; Parameter estimation; Maximum likelihood estimation; Fruit flies optimization algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on weibull distribution model parameters of maximum likelihood estimation process trival, is obtained by using the Newton method and adopting the particle swarm optimization algorithm is easy to fall into premature and program variables is more complicated problems in the implementation, put optimization algorithm is introduced into maximum likelihood method, and to improve the conventional fruit flies algorithm is introduced into step length factor, put forward the optimization algorithm based on improved fruit flies weibull distribution parameters estimation method, and compared with Newton's method and were compared with normal flies algorithm of particle swarm optimization (pso), the feasibility and effectiveness of the method is verified by examples.
引用
收藏
页码：647 / 654
页数：8
相关论文
共 50 条
  • [1] Parameter Estimation of Weibull Mixtures Based on Improved Cuckoo Search Algorithm
    Chi, Kuo
    Kang, Jian-She
    Wang, Guang-yan
    Yang, Rui-feng
    2016 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHENGDU), 2016,
  • [2] Wind Weibull distribution parameter estimation based on three fitness PSO algorithm
    Guo, Chushan
    Guo, Peng
    Yang, Xiyun
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2019, 40 (01): : 206 - 212
  • [3] An improved algorithm for parameter estimation suitable for mixed Weibull distributions
    Nagode, M
    Fajdiga, M
    INTERNATIONAL JOURNAL OF FATIGUE, 2000, 22 (01) : 75 - 80
  • [4] IMPROVED PERCENTILE ESTIMATION FOR THE 2-PARAMETER WEIBULL DISTRIBUTION
    WANG, FK
    KEATS, JB
    MICROELECTRONICS RELIABILITY, 1995, 35 (06) : 883 - 892
  • [5] Weibull Parameter Estimation Algorithm Based on Ant Colony
    Li, Weiguang
    Li, Zhen
    Ye, Cong
    Ye, Jing
    Chen, Gong
    Lin, Zhuohua
    Shang, Wanfeng
    Liu, Quanquan
    Wang, Chunbao
    2018 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SAFETY FOR ROBOTICS (ISR), 2018, : 579 - 584
  • [6] Advanced Algorithm for Maximum Likelihood Estimation of Three Parameter Weibull Distribution
    Yang Li
    Wang Dong
    Gao Yanli
    Liu Lingshun
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE OF MODELLING AND SIMULATION (ICMS2011), VOL 1, 2011, : 321 - 324
  • [7] On best estimation for parameter weibull distribution
    Alkutubi, Hadeel Salim
    World Academy of Science, Engineering and Technology, 2011, 51 : 281 - 283
  • [8] Parameter estimation of the Weibull probability distribution
    Pang, WK
    BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING, 2004, 735 : 549 - 554
  • [9] PARAMETER-ESTIMATION FOR WEIBULL DISTRIBUTION
    STONE, GC
    VANHEESWIJK, RG
    IEEE TRANSACTIONS ON ELECTRICAL INSULATION, 1977, 12 (04): : 253 - 261
  • [10] Estimation of Three-Parameter Weibull Distribution Based on Artificial Fish-Swarm Algorithm
    Zhang, Xiangpo
    ICOMS 2018: 2018 INTERNATIONAL CONFERENCE ON MATHEMATICS AND STATISTICS, 2018, : 34 - 40
12345