Application of multidimensional time series fuzzy association rules for hot metal temperature forecasting in a blast furnace

被引:0
|
作者
School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China [1 ]
不详 [2 ]
不详 [3 ]
机构
来源
Beijing Keji Daxue Xuebao | 2008年 / 5卷 / 553-557期
关键词
Blast furnaces;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Adaptive Time Series Forecasting Model with Associate Rules From Time Series Application to Business and Financial
    Deekumpa, Pornsak
    Chanjarean, Itsared
    Audjai, Kissana
    2017 INTERNATIONAL CONFERENCE ON DIGITAL ARTS, MEDIA AND TECHNOLOGY (ICDAMT): DIGITAL ECONOMY FOR SUSTAINABLE GROWTH, 2017, : 320 - 324
  • [42] Performance analysis of hot metal temperature prediction in a blast furnace and expert suggestion system proposal using neural, statistical and fuzzy models
    Bozkurt, Erdogan
    Orak, Ilhami M.
    Tunckaya, Yasin
    METALLURGICAL RESEARCH & TECHNOLOGY, 2021, 118 (03)
  • [43] Varying-coefficient regression model for predictive control of blast furnace hot metal temperature
    Feng, Ting
    Liu, Xiang-Guan
    Ma, Xiang
    Zhao, Bin
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2007, 41 (10): : 1743 - 1745
  • [44] Numerical prediction on the variation of temperature in the eroded blast furnace hearth with titanium dioxide in hot metal
    Lin, C. H.
    Cheng, W. T.
    Du, S. W.
    INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2009, 36 (04) : 335 - 341
  • [45] Effect of BaO, Basicity and Temperature on Manganese Distribution between Slag and Hot Metal in Blast Furnace
    Meraikib, Mohammed
    STEEL RESEARCH INTERNATIONAL, 2009, 80 (02) : 99 - 106
  • [46] Blast furnace hot metal temperature prediction through neural networks-based models
    Jiménez, J
    Mochón, J
    de Ayala, JS
    Obeso, F
    ISIJ INTERNATIONAL, 2004, 44 (03) : 573 - 580
  • [47] Identification of Extreme Temperature Fluctuation in Blast Furnace Based on Fractal Time Series Analysis
    Luo, Shihua
    Dai, Zian
    Guo, Fan
    Zeng, Jiusun
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2019, 26 (04): : 1098 - 1103
  • [48] An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting
    Criado-Ramon, D.
    Ruiz, L. G. B.
    Pegalajar, M. C.
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2024, 26 (03) : 703 - 717
  • [49] APPLICATION OF FUZZY TIME SERIES TECHNIQUES IN WIND AND WAVE DATA FORECASTING
    Stefanakos, Christos N.
    Schinas, Orestis
    Eidnes, Grim
    33RD INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2014, VOL 4B, 2014,
  • [50] An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting
    D. Criado-Ramón
    L.G.B. Ruiz
    M. C. Pegalajar
    International Journal of Fuzzy Systems, 2024, 26 : 703 - 717