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A simple algorithm for training fuzzy systems using input-output data

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dc.contributor.author Tsekouras, G en
dc.contributor.author Sarimveis, H en
dc.contributor.author Bafas, G en
dc.date.accessioned 2014-03-01T01:18:33Z
dc.date.available 2014-03-01T01:18:33Z
dc.date.issued 2003 en
dc.identifier.issn 0965-9978 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/15087
dc.subject Fuzzy basis function en
dc.subject Nearest neighbor algorithm en
dc.subject Training fuzzy systems en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.subject.classification Computer Science, Software Engineering en
dc.subject.other Backpropagation en
dc.subject.other Genetic algorithms en
dc.subject.other Iterative methods en
dc.subject.other Least squares approximations en
dc.subject.other Parameter estimation en
dc.subject.other Fuzzy models en
dc.subject.other Fuzzy sets en
dc.title A simple algorithm for training fuzzy systems using input-output data en
heal.type journalArticle en
heal.identifier.primary 10.1016/S0965-9978(03)00034-6 en
heal.identifier.secondary http://dx.doi.org/10.1016/S0965-9978(03)00034-6 en
heal.language English en
heal.publicationDate 2003 en
heal.abstract This paper proposes a simple algorithm for training fuzzy systems from numerical data: The main advantage of the method is the lack of complicated iterative mechanisms and therefore, its implementation is carried out easily. The suggested algorithm employs a fuzzy model with simplified rules, assuming a fuzzy partition of the input space into fuzzy subspaces. The output is inferred by expanding the model into fuzzy basis functions (FBFs), where each FBF corresponds to a certain fuzzy subspace. The number of rules and the respective premise parts (fuzzy subspaces) are determined using the nearest neighbor approach. Then, the optimal consequent parameters are obtained by the least-squares method. Finally, simulations show the validity of the method. (C) 2003 Elsevier Science Ltd. All rights reserved. en
heal.publisher ELSEVIER SCI LTD en
heal.journalName Advances in Engineering Software en
dc.identifier.doi 10.1016/S0965-9978(03)00034-6 en
dc.identifier.isi ISI:000182498400001 en
dc.identifier.volume 34 en
dc.identifier.issue 5 en
dc.identifier.spage 247 en
dc.identifier.epage 259 en


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