Detecting faults in information poor systems using neurofuzzy models

被引:0
|
作者
Maruyama, N. [1 ]
Dexter, Arthur L. [1 ]
机构
[1] Univ of Sao Paulo, Sao Paulo, Brazil
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:145 / 154
相关论文
共 50 条
  • [31] Detecting misuse of information retrieval systems using data mining techniques
    Goharian, N
    Ma, L
    Meyers, C
    INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS, 2005, 3495 : 604 - 605
  • [32] Detecting scalar intermittent faults in linear stochastic dynamic systems
    Chen, Maoyin
    Xu, Guibin
    Yan, Rongyi
    Ding, Steven X.
    Zhou, Donghua
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2015, 46 (08) : 1337 - 1348
  • [33] AC Spectrum Analysis for Detecting DC Faults on HVDC Systems
    Elgeziry, Mohammed Z.
    Elsadd, Mahmoud A.
    Elkalashy, Nagy, I
    Kawady, Tamer A.
    2017 NINETEENTH INTERNATIONAL MIDDLE-EAST POWER SYSTEMS CONFERENCE (MEPCON), 2017, : 708 - 715
  • [34] Construction of prediction intervals using adaptive neurofuzzy inference systems
    Miskony, Bara
    Wang, Dianhui
    APPLIED SOFT COMPUTING, 2018, 72 : 579 - 586
  • [35] Detecting Significant Differences Between Information Retrieval Systems via Generalized Linear Models
    Faggioli, Guglielmo
    Ferro, Nicola
    Fuhr, Norbert
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2022, 2022, : 446 - 456
  • [36] Advanced impedance mismatch technique for detecting faults in photovoltaic systems
    Lamdihine, Najwa
    Ouassaid, Mohammed
    ENERGY SCIENCE & ENGINEERING, 2024, 12 (07) : 3074 - 3087
  • [37] A tool for detecting and diagnosing faults in the drainage systems of existing buildings
    Cheng, Cheng L.
    Liao, Wan J.
    Lo, Chien S.
    Peng, Jr J.
    INDOOR AND BUILT ENVIRONMENT, 2017, 26 (01) : 108 - 118
  • [38] Detecting Process Faults using Singular Spectrum Decomposition
    Krishnannair, S.
    IFAC PAPERSONLINE, 2024, 58 (14): : 575 - 579
  • [39] Classification of confidential documents by using adaptive neurofuzzy inference systems
    Alparslan, Erdem
    Karahoca, Adem
    Bahsi, Hayretdin
    WORLD CONFERENCE ON INFORMATION TECHNOLOGY (WCIT-2010), 2011, 3
  • [40] A novel approach to robust parameter estimation using neurofuzzy systems
    da Silva, IN
    de Arruda, LVR
    do Amaral, WC
    MATHEMATICS AND COMPUTERS IN SIMULATION, 1999, 48 (03) : 251 - 268