An Approach of Artificial Neural Networks Modeling Based on Fuzzy Regression for Forecasting Purposes

被引：6
|
作者：
Neshat, N. [1 ]
机构：
[1] Ayatollah Haeri Univ Meybod, Grp Ind Engn, Meybod, Iran
来源：
INTERNATIONAL JOURNAL OF ENGINEERING | 2015年 / 28卷 / 11期
关键词：
Artificial Neural Networks; Fuzzy Regression; Modelling; Forecasting;
D O I：
10.5829/idosi.ije.2015.28.11b.13
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a new approach of modeling for Artificial Neural Networks (ANNs) models based on the concepts of fuzzy regression is proposed. For this purpose, we reformulated ANN model as a fuzzy nonlinear regression model while it has advantages of both fuzzy regression and ANN models. Hence, it can be applied to uncertain, ambiguous, or complex environments due to its flexibility for forecasting purposes.
引用
收藏
页码：1651 / 1655
页数：5
相关论文
共 50 条
  • [1] A new hybrid artificial neural networks and fuzzy regression model for time series forecasting
    Khashei, Mehdi
    Hejazi, Seyed Reza
    Bijari, Mehdi
    [J]. FUZZY SETS AND SYSTEMS, 2008, 159 (07) : 769 - 786
  • [2] Artificial Neural Networks for Forecasting of Fuzzy Time Series
    Reuter, U.
    Moeller, B.
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2010, 25 (05) : 363 - 374
  • [3] A regression modeling method of the artificial neural networks
    Li, P
    Mu, XF
    [J]. ELECTRONIC IMAGING AND MULTIMEDIA SYSTEMS II, 1998, 3561 : 398 - 402
  • [4] Forecasting groundwater level by artificial neural networks as an alternative approach to groundwater modeling
    Manouchehr Chitsazan
    Gholamreza Rahmani
    Ahmad Neyamadpour
    [J]. Journal of the Geological Society of India, 2015, 85 : 98 - 106
  • [5] Forecasting Groundwater Level by Artificial Neural Networks as an Alternative Approach to Groundwater Modeling
    Chitsazan, Manouchehr
    Rahmani, Gholamreza
    Neyamadpour, Ahmad
    [J]. JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2015, 85 (01) : 98 - 106
  • [6] Forecasting Exchange Rates: Artificial Neural Networks Vs Regression
    Semaan, David
    Harb, Atef
    Kassem, Abdallah
    [J]. 2014 THIRD INTERNATIONAL CONFERENCE ON E-TECHNOLOGIES AND NETWORKS FOR DEVELOPMENT (ICEND), 2014, : 156 - 161
  • [7] Application of fuzzy inference algorithm in artificial neural networks forecasting
    Yang, KH
    Wang, BS
    Zhao, LL
    Xu, H
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 1, 2004, : 445 - 450
  • [8] Application of fuzzy neural networks and artificial intelligence for load forecasting
    Liao, GC
    Tsao, TP
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2004, 70 (03) : 237 - 244
  • [9] Application of fuzzy systems and artificial neural networks for flood forecasting
    Tareghian, R.
    Kashefipour, S.M.
    [J]. Journal of Applied Sciences, 2007, 7 (22) : 3451 - 3459
  • [10] A business forecasting competition approach to modeling artificial neural networks for time series prediction
    Crone, SF
    [J]. IC-AI '04 & MLMTA'04 , VOL 1 AND 2, PROCEEDINGS, 2004, : 207 - 213
12345