Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

A deep learned recurrent type-3 (RT3) fuzzy logic system (FLS) with nonlinear consequent part is presented for renewable energy modeling and prediction. Beside the rule parameters, the values of horizontal slices and membership function (MF) parameters are also optimized. The stability of suggested...

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Auteurs principaux: Yan Cao, Amir Raise, Ardashir Mohammadzadeh, Sakthivel Rathinasamy, Shahab S. Band, Amirhosein Mosavi
Format: article
Langue:EN
Publié: Elsevier 2021
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Accès en ligne:https://doaj.org/article/9190d08ce3174b15803a94f466204d85
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