Implementation of Takagi Sugeno Kang Fuzzy with Rough Set Theory and Mini-Batch Gradient Descent Uniform Regularization

Implementation of Takagi Sugeno Kang Fuzzy with Rough Set Theory and Mini-Batch Gradient Descent Uniform Regularization

The Takagi Sugeno Kang (TSK) fuzzy approach is popular since its output is either a constant or a function. Parameter identification and structure identification are the two key requirements for building the TSK fuzzy system. The input utilized in fuzzy TSK can have an impact on the number of rules...

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Bibliographic Details
Main Authors: Sugiyarto Surono, Zani Anjani Rafsanjani Hsm, Deshinta Arrova Dewi, Annisa Eka Haryati, Tommy Tanu Wijaya
Format: Article
Language:English
Published: Ital Publication 2023-05-01
Series:Emerging Science Journal
Subjects:
rough set
takagi sugeno kang fuzzy
mini batch gradient descent
uniform regularization.
Online Access:https://www.ijournalse.org/index.php/ESJ/article/view/1400

Internet

https://www.ijournalse.org/index.php/ESJ/article/view/1400

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