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
来源：
International Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES | 1998年 / 2卷
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
  • [41] Adaptive control of stochastic nonlinear systems using neurofuzzy networks
    Yeung, WK
    Chan, CW
    Cheung, KC
    ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 2000, 2001, : 231 - 236
  • [42] Using the neurofuzzy approach to building dependable neural network systems
    Brown, M
    Harris, CJ
    Abed, Z
    NEURAL NETWORKS - PRODUCING DEPENDABLE SYSTEMS, CONFERENCE PROCEEDINGS, 1996, 95 (973): : 81 - 91
  • [43] Anomaly Detection Models for Detecting Sensor Faults and Outliers in the IoT - A Survey
    Gaddam, Anuroop
    Wilkin, Tim
    Angelova, Maia
    2019 13TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2019,
  • [44] Detecting Mountain Peaks and Delineating Their Shapes Using Digital Elevation Models, Remote Sensing and Geographic Information Systems Using Autometric Methodological Procedures
    Podobnikar, Tomaz
    REMOTE SENSING, 2012, 4 (03): : 784 - 809
  • [45] Detecting Bearing Faults in Line-Connected Induction Motors Using Information Theory Measures and Neural Networks
    Schmitt H.L.
    Scalassara P.R.
    Goedtel A.
    Endo W.
    Journal of Control, Automation and Electrical Systems, 2015, 26 (5) : 535 - 544
  • [46] A Method for Detecting Dynamic Mutation of Complex Systems Using Improved Information Entropy
    Ju, Bin
    Zhang, Haijiao
    Liu, Yongbin
    Pan, Donghui
    Zheng, Ping
    Xu, Lanbing
    Li, Guoli
    ENTROPY, 2019, 21 (02):
  • [47] Realization of crop viruses by neurofuzzy systems using hybrid mining algorithm
    Nam, Deok Hee
    CITSA 2007/CCCT 2007: INTERNATIONAL CONFERENCE ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS AND APPLICATIONS : INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL III, POST-CONFERENCE ISSUE, PROCEEDINGS, 2007, : 98 - 103
  • [48] Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study
    Ali Gholipour
    Babak N. Araabi
    Caro Lucas
    Neural Processing Letters, 2006, 24 : 217 - 239
  • [49] An enhanced flow analysis technique for detecting unreachability faults in concurrent systems
    Chen, Tsong Yueh
    Hu, Peifeng
    Li, Hao
    Tse, T. H.
    INFORMATION SCIENCES, 2012, 194 : 254 - 269
  • [50] Tensfa: Detecting and Repairing Tensor Shape Faults in Deep Learning Systems
    Wu, Dangwei
    Shen, Beijun
    Chen, Yuting
    Jiang, He
    Qiao, Lei
    2021 IEEE 32ND INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING (ISSRE 2021), 2021, : 1 - 11
12345