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Dynamic rule structuring based on rule-activation sensitivity analysis

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dc.contributor.author Pertselakis, M en
dc.contributor.author Stafylopatis, A en
dc.date.accessioned 2014-03-01T02:43:13Z
dc.date.available 2014-03-01T02:43:13Z
dc.date.issued 2005 en
dc.identifier.uri http://hdl.handle.net/123456789/31311
dc.subject Confidence Measure en
dc.subject Fuzzy Neural Network en
dc.subject Fuzzy Rules en
dc.subject Hierarchical Structure en
dc.subject Sensitivity Analysis en
dc.subject Soft Computing en
dc.subject.other Computational methods en
dc.subject.other Fuzzy control en
dc.subject.other Hierarchical systems en
dc.subject.other Neural networks en
dc.subject.other Robustness (control systems) en
dc.subject.other Sensitivity analysis en
dc.subject.other Fuzzy neural network en
dc.subject.other Fuzzy rules en
dc.subject.other Hierarchical structure en
dc.subject.other Soft computing en
dc.subject.other Data structures en
dc.title Dynamic rule structuring based on rule-activation sensitivity analysis en
heal.type conferenceItem en
heal.identifier.primary 10.1109/CIMCA.2005.1631293 en
heal.identifier.secondary http://dx.doi.org/10.1109/CIMCA.2005.1631293 en
heal.identifier.secondary 1631293 en
heal.publicationDate 2005 en
heal.abstract In the field of soft computing the need of more flexible, fast and robust approaches is evident. The main idea behind this paper is the construction of sets of fuzzy rules with a hierarchical structure derived from data. The appropriate set is then applied on demand. Instead of rule pruning or rule refinement, we propose a way that sorts the total of rules of a well-trained fuzzy neural network in order of significance and creates prioritized rule sets using sensitivity analysis, A confidence measure indicates the appropriate set to be utilized at any given time. Experiments in benchmark classification tasks prove that this method does not only reduce computational cost, but it also maintains performance at the same levels, offering fast processing during real-time operations. © 2005 IEEE. en
heal.journalName Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet en
dc.identifier.doi 10.1109/CIMCA.2005.1631293 en
dc.identifier.volume 1 en
dc.identifier.spage 365 en
dc.identifier.epage 370 en


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