NDLI: A Comparative Study between an Offline and an Online Fuzzy Model

Content Provider	IEEE Xplore Digital Library
Author	Luna, I. Soares, S. Ballini, R.
Copyright Year	2007
Description	Author affiliation: State Univ. of Campinas-SP, Campinas (Luna, I.; Soares, S.)
Abstract	This paper suggests and compares two approaches for building a fuzzy-rule based system for time series modeling and forecasting. The first one is based on a constructive offline learning (C-FSM). The second one, is based on an adaptive online learning process (A-FSM). Both models have its general architecture based on a fuzzy rule based system, and its respective learning algorithms are based on the EM optimization technique. Because the C-FSM is trained in an offline learning, it results in a more accurate model. However, the A-FSM has a faster learning process, since it is not necessary to retrain it with all data available at each iteration. The A-FSM also provides a more compact structure, being its learning and structure generation, great advantages in terms of time process and computational effort, when compared to the constructive approach. Results applying both techniques for building time series models show their efficiency, having each one of them important advantages when compared. The constructive offline model gets better accuracy, but, the online one, has a faster learning and a provides a simpler final structure.
Starting Page	256
Ending Page	261
File Size	631892
Page Count	6
File Format	PDF
ISBN	1424412137
DOI	10.1109/NAFIPS.2007.383847
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Power system modeling Predictive models Buildings Computational modeling Knowledge based systems Linear regression Computer networks Neural networks Proposals
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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