The Research of Fuzzy Neural Network Based on Particle Swarm Optimization

被引：0
|
作者：
Man Chun-tao [1 ]
Zhang Cai-yun [1 ]
Zhang Lu-qi [1 ]
Liu Qing-yu [1 ]
机构：
[1] HUST, Dept Name Automat, Harbin, Peoples R China
来源：
PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 | 2013年
关键词：
Particle swarm optimization (PSO); fuzzy neural network(FNN); gear box; diagnosis the fault;
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：
With the science and technology develop constantly, the research of swarm intelligence has aroused great concern of many scholars, including particle swarm optimization(PSO) algorithm for its advantages of fast convergence, easy to implement, and only a few parameters need to be adjusted are widely used. In this paper, the fuzzy neural network(FNN) based on PSO algorithm have been studied and tested, and applied it to diagnosis the model for fault of gearbox, which is seven inputs and six outputs, and compared the results of diagnosis in the way of fuzzy neural network based on particle swarm optimization(PSO-FNN) with the way of FNN. Obtaining the conclusion that PSO-FNN has better training performance, fast convergence and fewer iterations, better accuracy, good rate of fault identification.
引用
收藏
页码：1122 / 1125
页数：4
相关论文
共 50 条
  • [31] IC Package Warpage Reduction Based on Fuzzy Adaptive Particle Swarm Optimization Algorithm and Neural Network
    Su, Te-Jen
    Yang, Wen-Rong
    Lee, Yu-Chenge
    Chen, Yi-Feng
    SENSORS AND MATERIALS, 2022, 34 (07) : 2503 - 2515
  • [32] Forecasting of Software Reliability Using Neighborhood Fuzzy Particle Swarm Optimization Based Novel Neural Network
    Roy, Pratik
    Mahapatra, Ghanshaym Singha
    Dey, Kashi Nath
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2019, 6 (06) : 1365 - 1383
  • [33] Forecasting of Software Reliability Using Neighborhood Fuzzy Particle Swarm Optimization Based Novel Neural Network
    Pratik Roy
    Ghanshaym Singha Mahapatra
    Kashi Nath Dey
    IEEE/CAAJournalofAutomaticaSinica, 2019, 6 (06) : 1365 - 1383
  • [34] Fuzzy min-max neural network and particle swarm optimization based intrusion detection system
    Azad, Chandrashekhar
    Jha, Vijay Kumar
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2017, 23 (04): : 907 - 918
  • [35] A research about the predictive control of dynamic feedforward neural network based on particle swarm optimization
    Liu, Lizheng
    Liu, Fangai
    Yang, Feng
    Computer Modelling and New Technologies, 2014, 18 (09): : 303 - 311
  • [36] Research on the Back Propagation Neural Network Haze Prediction Model Based on Particle Swarm Optimization
    Zhao, Zhi
    Chen, Qiang
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 14 - 14
  • [37] Application of an optimization artificial immune network and particle swarm optimization-based fuzzy neural network to an RFID-based positioning system
    Kuo, R. J.
    Hung, S. Y.
    Cheng, W. C.
    INFORMATION SCIENCES, 2014, 262 : 78 - 98
  • [38] Research and simulation of fuzzy controller design based on particle swarm optimization
    Zhang, Yufei
    Dang, Zhiyan
    Wei, Jie
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3757 - +
  • [39] The Optimization of Fuzzy Neural Network Based on Artificial Fish Swarm Algorithm
    Lei Yanmin
    Feng Zhibin
    2013 IEEE NINTH INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR NETWORKS (MSN 2013), 2013, : 469 - 473
  • [40] Fuzzy Time Series Forecasting Model Using Particle Swarm Optimization and Neural Network
    Bose, Mahua
    Mali, Kalyani
    SOFT COMPUTING FOR PROBLEM SOLVING, SOCPROS 2017, VOL 1, 2019, 816 : 413 - 423
12345