Demand forecast system description by using neuro-fuzzy techniques

被引：0
|
作者：
Escoda, I
Sanz, A
Herms, A
机构：
来源：
ADVANCES IN INTELLIGENT SYSTEMS | 1997年 / 41卷
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：
This work presents the bases for the development of an expert system for ''Demand forecast by Neuro-Fuzzy techniques''. The work is focused on the analisys of demand system, development and representation of linguistic variables to qualify the product demand. Variables are quantified using fuzzy logic, allowing the model to evaluate, quantify and qualify data. Phases for this work are:analisys and collection of information of demand system, identification of linguistic variables, determination of membership function and definition of linguistic rules.
引用
收藏
页码：192 / 199
页数：8
相关论文
共 50 条
  • [1] Demand forecast by neuro-fuzzy techniques.
    Escoda, I
    Ortega, A
    Sanz, A
    Herms, A
    [J]. PROCEEDINGS OF THE SIXTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I - III, 1997, : 1381 - 1386
  • [2] Demand Predicting In Distribution System Using Neuro-Fuzzy Techniques
    Mohammadi, S.
    [J]. PC 2008: PROCEEDINGS OF THE 8TH WSEAS INTERNAITONAL CONFERENCE ON POWER SYSTEMS AND POWER TECHNOLOGY, 2008, : 281 - 286
  • [3] Demand forecasting for apparel manufacturers by using neuro-fuzzy techniques
    Aksoy, Asli
    Ozturk, Nursel
    Sucky, Eric
    [J]. JOURNAL OF MODELLING IN MANAGEMENT, 2014, 9 (01) : 18 - 35
  • [4] MODELLING AND FORECAST OF CHARCOAL PRICES USING A NEURO-FUZZY SYSTEM
    Araujo Junior, Carlos Alberto
    da Silva, Liniker Fernandes
    da Silva, Marcio Lopes
    Leite, Helio Garcia
    Valdetaro, Erlon Barbosa
    Donato, Danilo Barros
    Oliveira Castro, Renato Vinicius
    [J]. CERNE, 2016, 22 (02) : 151 - 158
  • [5] On the structure of a neuro-fuzzy system to forecast chaotic time series
    Studer, L
    Masulli, F
    [J]. 1ST INTERNATIONAL SYMPOSIUM ON NEURO-FUZZY SYSTEMS - AT'96, CONFERENCE REPORT, 1996, : 103 - 110
  • [6] Water Supply System Demand Forecasting Using Adaptive Neuro-Fuzzy Inference System
    Vijayalaksmi, D. P.
    Babu, K. S. Jinesh
    [J]. INTERNATIONAL CONFERENCE ON WATER RESOURCES, COASTAL AND OCEAN ENGINEERING (ICWRCOE'15), 2015, 4 : 950 - 956
  • [7] Building a neuro-fuzzy system to efficiently forecast chaotic time series
    Studer, L
    Masulli, F
    [J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1997, 389 (1-2): : 264 - 267
  • [8] A Hybrid Neuro-Fuzzy Model to Forecast Inflation
    Enke, David
    Mehdiyev, Nijat
    [J]. COMPLEX ADAPTIVE SYSTEMS, 2014, 36 : 254 - +
  • [9] A Multitarget Tracking Video System Based on Fuzzy and Neuro-Fuzzy Techniques
    Jesús García
    José M. Molina
    Juan A. Besada
    Javier I. Portillo
    [J]. EURASIP Journal on Advances in Signal Processing, 2005
  • [10] A multitarget tracking video system based on fuzzy and neuro-fuzzy techniques
    García, J
    Molina, JM
    Besada, JA
    Portillo, JI
    [J]. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2005, 2005 (14) : 2341 - 2358
12345