On Neuro-Fuzzy Prediction in MATLAB

被引：0
|
作者：
Pashchenko, F. F. [1 ]
Pashchenko, A. F. [1 ]
Durgaryan, I. S. [1 ]
Kudinov, Y. I. [2 ]
Kelina, A. Y. [2 ]
Le Van Dinh [3 ]
机构：
[1] Russian Acad Sci, Inst Control Sci, Moscow, Russia
[2] Lipetsk State Tech Univ, Lipetsk, Russia
[3] Natl Res Univ, Moscow Power Engn Inst, Moscow, Russia
来源：
PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS | 2015年
关键词：
Simulation; technologicsl process; fuzzy model; TS; -; model; neuro-fuzzy network; ANFIS architecture; prediction; electric energy consumption forecast; MATLAB;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper we solve the problem of modeling the production systems basing on neuro-fuzzy models and tools of MATLAB. The problems of identifying and constructing a model for the prediction of energy consumption are observed with the use of MATLAB tools.
引用
收藏
页码：1538 / 1541
页数：4
相关论文
共 50 条
  • [1] Financial prediction with neuro-fuzzy systems
    Pokropinska, Agata
    Scherer, Rafal
    [J]. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2008, PROCEEDINGS, 2008, 5097 : 1120 - +
  • [2] Neuro-fuzzy prediction of uricase production
    S. Vassileva
    B. Tzvetkova
    C. Katranoushkova
    L. Losseva
    [J]. Bioprocess Engineering, 2000, 22 : 363 - 367
  • [3] Neuro-fuzzy prediction of uricase production
    Vassileva, S
    Tzvetkova, B
    Katranoushkova, C
    Losseva, L
    [J]. BIOPROCESS ENGINEERING, 2000, 22 (04): : 363 - 367
  • [4] A neuro-fuzzy system for patch load prediction
    Fonseca, E. T.
    Vellasco, P. C. G. da S.
    Vellasco, M. M. B. R.
    de Andrade, S. A. L.
    [J]. Proceedings of The Seventh International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering, 2003, : 113 - 114
  • [5] A Neuro-Fuzzy Classifier for Website Quality Prediction
    Malhotra, Ruchika
    Sharma, Anjali
    [J]. 2013 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2013, : 1274 - 1279
  • [6] Deriving prediction intervals for neuro-fuzzy networks
    Mencar, C
    Castellano, G
    Fanelli, AM
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 2005, 42 (7-8) : 719 - 726
  • [7] A neuro-fuzzy system for ash property prediction
    Castellano, G
    Castiello, C
    Fanelli, AM
    Giovannini, M
    [J]. COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2002, : 175 - 180
  • [8] Prediction of Conductivity by Adaptive Neuro-Fuzzy Model
    Akbarzadeh, S.
    Arof, A. K.
    Ramesh, S.
    Khanmirzaei, M. H.
    Nor, R. M.
    [J]. PLOS ONE, 2014, 9 (03):
  • [9] New Neuro-Fuzzy Approach to Recession Prediction
    Mehdiyev, Nijat Sh.
    Guirimov, Babek G.
    Aliyev, Rafig R.
    [J]. 2009 FIFTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING, COMPUTING WITH WORDS AND PERCEPTIONS IN SYSTEM ANALYSIS, DECISION AND CONTROL, 2010, : 278 - +
  • [10] Power prediction using an optimal neuro-fuzzy predictor
    Gao, XM
    Gao, XZ
    Ovaska, SJ
    [J]. IMTC/97 - IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE: SENSING, PROCESSING, NETWORKING, PROCEEDINGS VOLS 1 AND 2, 1997, : 1225 - 1230
12345