Neuro-fuzzy networks in time series modelling

被引：0
|
作者：
Gorzalczany, MB [1 ]
Gluszek, A [1 ]
机构：
[1] Kielce Univ Technol, Dept Elect & Comp Engn, PL-25314 Kielce, Poland
来源：
KES'2000: FOURTH INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, VOLS 1 AND 2, PROCEEDINGS | 2000年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper briefly presents and compares four neuro-fuzzy systems used for rule-based modelling of dynamic processes (chaotic Mackey-Glass time series). The following systems have been considered: nfMod - the system proposed in this paper, the well-known ANFIS and NFIDENT systems, and an alternative neuro-fuzzy system reported in literature. The main criterion of comparison of all systems is their performance (the accuracy of modelling) versus interpretability (the transparency and the ability to explain generated decisions; it also includes an analysis and pruning of obtained fuzzy-rule bases).
引用
收藏
页码：450 / 453
页数：4
相关论文
共 50 条
  • [1] Prediction of the chaotic time series using neuro-fuzzy networks
    Tan, W
    Wang, YN
    Zhou, SW
    Liu, ZR
    [J]. ACTA PHYSICA SINICA, 2003, 52 (04) : 795 - 801
  • [2] Time-series prediction using adaptive neuro-fuzzy networks
    Lin, CJ
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2004, 35 (05) : 273 - 286
  • [3] Hydrological time-series modelling using an adaptive neuro-fuzzy inference system
    Firat, Mahmut
    Gungor, Mahmud
    [J]. HYDROLOGICAL PROCESSES, 2008, 22 (13) : 2122 - 2132
  • [4] Time-series load modelling and load forecasting using neuro-fuzzy techniques
    Haydari, Zargham
    Kavehnia, F.
    Askari, M.
    Ganbariyan, M.
    [J]. PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL POWER QUALITY AND UTILISATION, VOLS 1 AND 2, 2007, : 889 - 894
  • [5] A neuro-fuzzy method for predicting the chaotic time series
    Hu, YX
    Gao, JF
    [J]. ACTA PHYSICA SINICA, 2005, 54 (11) : 5034 - 5038
  • [6] Neuro-Fuzzy System for chaotic time series forecasting
    Masulli, F
    Studer, L
    [J]. APPLICATIONS OF SOFT COMPUTING, 1997, 3165 : 204 - 215
  • [7] Time series forecasting with a neuro-fuzzy modeling scheme
    Peng, Hung-Wen
    Wu, Shen-Fu
    Wei, Chia-Ching
    Lee, Shie-Jue
    [J]. APPLIED SOFT COMPUTING, 2015, 32 : 481 - 493
  • [8] Fuzzy and neuro-fuzzy techniques for modelling and control
    Lee, S. H.
    Howlett, R. J.
    Walters, S. D.
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2006, 4251 : 1206 - 1215
  • [9] NEURO-FUZZY NETWORKS IN CAPP
    Bernard S Maiyo
    Wang Xiankui
    Lin Chengying (Department of Precision Instruments and Mechanology
    [J]. Chinese Journal of Mechanical Engineering, 2000, (01) : 30 - 34
  • [10] Reconstructing time series GRN using a neuro-fuzzy system
    Yoon, Heejin
    Lim, Jongwoo
    Lim, Joon S.
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2015, 29 (06) : 2751 - 2757
12345