Demand forecast by neuro-fuzzy techniques.

被引：0
|
作者：
Escoda, I
Ortega, A
Sanz, A
Herms, A
机构：
来源：
PROCEEDINGS OF THE SIXTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I - III | 1997年
关键词：
fuzzy neural networks; demand prediction; forecast; expert system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This work presents the investigation project Sor the development of an expert system Sor ''Demand forecast by Neuro-Fuzzy techniques''. The target of the work is to stud?, the feasibility of using fuzzy neural networks and compare the results to the ones obtained from conventional tools. For this purpose the work is focused on the development and representation of linguistic variables to qualify the product demand. Phases Sor this work are: identification of linguistic variables in demand environment, and comparative study of real data to the forecast results by means of an Artificial Neural Network (ANN), a Fuzzy, Neural Network (FNN) and FururMaster, a tool based on Winters classic forecast method. The influence of the linguistic terms considered Sor the input/output variables is also analyzed.
引用
收藏
页码：1381 / 1386
页数：6
相关论文
共 50 条
  • [41] Neuro-fuzzy filtering techniques for automatic speech recognition enhancement
    Poluzzi, R
    Arnone, L
    Savi, A
    Brescianini, M
    2003 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING, PROCEEDINGS: FROM CLASSICAL MEASUREMENT TO COMPUTING WITH PERCEPTIONS, 2003, : 255 - 258
  • [42] Using Neuro-Fuzzy Techniques to Reduce False Alerts in IDS
    Gaonjur, Pravesh
    Tarapore, N. Z.
    Pukale, S. G.
    Dhore, M. L.
    PROCEEDINGS OF THE 2008 16TH INTERNATIONAL CONFERENCE ON NETWORKS, 2008, : 505 - 510
  • [43] Approximation of dynamic systems using recurrent neuro-fuzzy techniques
    Nürnberger, A
    SOFT COMPUTING, 2004, 8 (06) : 428 - 442
  • [44] Neuro-Fuzzy and Regression techniques for CNC thermal error compensation
    Dixon, W
    Mehdi, Q
    Gough, N
    Pitchford, J
    APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS VII, 2000, : 304 - 322
  • [45] Energy Evaluation of Highway Construction using Neuro-fuzzy Techniques
    Thipparat, Thoedtida
    MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 3873 - 3877
  • [46] Short-term load forecast using ensemble neuro-fuzzy model
    Malekizadeh, M.
    Karami, H.
    Karimi, M.
    Moshari, A.
    Sanjari, M. J.
    ENERGY, 2020, 196 (196)
  • [47] A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations
    Querales, Marvin
    Salas, Rodrigo
    Morales, Yerel
    Allende-Cid, Hector
    Rosas, Harvey
    APPLIED SOFT COMPUTING, 2022, 118
  • [48] Fuzzy sets and systems - Special issue - Neuro-fuzzy techniques and applications - Preface
    Page, G
    Gomm, B
    FUZZY SETS AND SYSTEMS, 1996, 79 (01) : 1 - 2
  • [49] Dynamic Morphing of Smart Trusses and Mechanisms Using Fuzzy and Neuro-Fuzzy Techniques
    Tairidis, Georgios K.
    Muradova, Aliki D.
    Stavroulakis, Georgios E.
    FRONTIERS IN BUILT ENVIRONMENT, 2019, 5
  • [50] FUZZY AND NEURO-FUZZY MODELS FOR SHORT-TERM WATER DEMAND FORECASTING IN TEHRAN
    Tabesh, M.
    Dini, M.
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B-ENGINEERING, 2009, 33 (B1): : 61 - 77
12345