Article

Speed boosting induction of fuzzy rules with artificial immune systems

Authors:

Edward Mezyk,

Olgierd UnoldAuthors Info & Claims

ICS'08: Proceedings of the 12th WSEAS international conference on Systems

Pages 704 - 706

Published: 22 July 2008 Publication History

Abstract

The paper introduces a speed boosting extension to a novel induction of fuzzy rules from raw data using Artificial Immune System methods. The modified algorithm was experimentally proved to be several times faster than standard version.

References

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Mezyk EUnold O(2018)Accelerating improvement of fuzzy rules induction with artificial immune systemsWSEAS TRANSACTIONS on SYSTEMS10.5555/1486663.14866697:10(900-909)Online publication date: 17-Dec-2018
https://dl.acm.org/doi/10.5555/1486663.1486669
Mezyk EUnold O(2018)Accelerating improvement of fuzzy rules induction with artificial immune systemsWSEAS TRANSACTIONS on SYSTEMS10.5555/1486663.14866677:10(866-875)Online publication date: 17-Dec-2018
https://dl.acm.org/doi/10.5555/1486663.1486667
Unold O(2011)Diagnosis of cardiac arrhythmia using fuzzy immune approachProceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II10.5555/1997005.1997035(265-274)Online publication date: 14-Apr-2011
https://dl.acm.org/doi/10.5555/1997005.1997035

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Information

Published In

ICS'08: Proceedings of the 12th WSEAS international conference on Systems

July 2008

821 pages

ISBN:9789606766831

Editors:
Nikos E. Mastorakis
MIUE, ASEI, Hellenic Naval Academy, Greece
,
Valeri Mladenov
Technical University of Sofia, Bulgaria
,
Zoran Bojkovic
Technical University of Belgrade, Serbia
,
Dana Simian
University Lucian Blaga of Sibiu, Romania
,
Stamatios Kartalopoulos
University of Oklahoma
,
Argyrios Varonides
University of Scranton
,
Constantin Udriste
University Politehnica of Bucharest, Romania
,
Eugene Kindler
University of Ostrava, Czech Republic
,
S. Narayanan
Wright State University
,
Jaime Lloret Mauri
Polytechnic University of Valencia, Spain
,
Hamed Parsiani
University of Puerto Rico, Puerto Rico
,
Ka Lok Man
Politecnico di Torino, Italy

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Stevens Point, Wisconsin, United States

Publication History

Published: 22 July 2008

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Mezyk EUnold O(2018)Accelerating improvement of fuzzy rules induction with artificial immune systemsWSEAS TRANSACTIONS on SYSTEMS10.5555/1486663.14866697:10(900-909)Online publication date: 17-Dec-2018
https://dl.acm.org/doi/10.5555/1486663.1486669
Mezyk EUnold O(2018)Accelerating improvement of fuzzy rules induction with artificial immune systemsWSEAS TRANSACTIONS on SYSTEMS10.5555/1486663.14866677:10(866-875)Online publication date: 17-Dec-2018
https://dl.acm.org/doi/10.5555/1486663.1486667
Unold O(2011)Diagnosis of cardiac arrhythmia using fuzzy immune approachProceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II10.5555/1997005.1997035(265-274)Online publication date: 14-Apr-2011
https://dl.acm.org/doi/10.5555/1997005.1997035

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Accelerating improvement of fuzzy rules induction with artificial immune systems

Accelerating improvement of fuzzy rules induction with artificial immune systems

Speed Sensorless Control System of Induction Motor

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