NDLI: Elman NN and Time Series in Forecasting Models for Decision Making

Content Provider	IEEE Xplore Digital Library
Author	Andreeski, Cvetko J. Vasant, Pandian M. Stankovski, Mile J. Dimirovski, Georgi M.
Copyright Year	2006
Description	Author affiliation: St. Clement of Ohrid University - Bitola, Faculty of Tourism and Hospitality - Ohrid, Key Marsal Tito 95, MK-6000 Ohrid, Republic of Macedonia; Phone: ++389-46-262247; Fax: ++389-46-264215; E-mail: cipuslju@mt.net.mk; cvetko.andreeski@uklo.edu.mk (Andreeski, Cvetko J.) \|\| University Teknologi Petronas, Electrical & Eelctronic Engineering; 31750 Tronoh, BSI, Perak DR, Kingdom of Malaysia; E-mail: pandian_m@petronas.com.my (Vasant, Pandian M.) \|\| Dogus University, Faculty of Engineering, Acibadem, Kadikoy, TR-34722 Istanbul, Republic of Turkey; E-mail: gdimirovski@dogus.edu.tr (Dimirovski, Georgi M.) \|\| SS Cyril & Methodius University, Faculty of Electrical Engineering, Karpos 2 BB, MK-1000 Skopje, Republic of Macedonia; E-mail: milestk@etf.ukim.edu.mk (Stankovski, Mile J.) This paper examines and compares analytical tools in analysis of economic statistical data, econometric modeling, and neural network, soft-computing modeling, as representation models for time series processing in forecasting, decision and control. In addition, a novel forecasting model using Elman networks is proposed. A comprehensive experiment in applying the latter modeling has been carried out, some specific applications software developed, and a number of benchmark series from the literature processed. This paper reports on comparison findings as well on the use of our application software package which encompasses routines for regression, ARIMA and NN analysis of time series. The comparison analysis is illustrated by a sample example known as difficult to model via any technique.
Starting Page	1
Ending Page	6
File Size	3605805
Page Count	6
File Format	PDF
ISBN	1889335339
DOI	10.1109/WAC.2006.376053
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-24
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Neural networks Predictive models Decision making Time series analysis Economic forecasting Delay effects Electronic mail Neurofeedback Feedback loop Load forecasting time series analysis Elman neural networks forecasting patterns
Content Type	Text
Resource Type	Article

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