Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications

AIM: 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 mode...

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Detalles Bibliográficos
Autores principales: Kharazihai Isfahani, Mohsen, Zekri, Maryam, Marateb, Hamid Reza, Mañanas, Miguel Angel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901348/
https://www.ncbi.nlm.nih.gov/pubmed/31816627
http://dx.doi.org/10.1371/journal.pone.0224075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901348/
https://www.ncbi.nlm.nih.gov/pubmed/31816627
http://dx.doi.org/10.1371/journal.pone.0224075

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