Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identificatio...
Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications
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United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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Fuzzy wavelet neural network (FWNN) has proven to be a promising strategy in the identification of nonlinear systems. The network considers both global and local properties, deals with imprecision present in sensory data, leading to desired precisions. In this paper, we proposed a new FWNN model nominated "Fuzzy Jump Wavelet Neural Network" (FJWNN)...
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Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications
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TN_cdi_doaj_primary_oai_doaj_org_article_694387194d9e4f0da0fd52fefe5d674d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_694387194d9e4f0da0fd52fefe5d674d
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0224075
