An outlier-robust neuro-fuzzy system for classification and regression

DOI10.34768/amcs-2021-0021OpenAlexW3182593072MaRDI QIDQ2243626

Krzysztof Simiński

Publication date: 11 November 2021

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://sciendo.com/pdf/10.34768/amcs-2021-0021

zbMATH Keywords

classificationoutliersclusteringneuro-fuzzy systemsregression

Mathematics Subject Classification ID

Statistics (62-XX) Artificial intelligence (68Txx) Model systems in control theory (93Cxx) General systems theory (93Axx)

Related Items (6)

A comprehensive study of clustering a class of 2D shapes ⋮ FuBiNFS -- fuzzy biclustering neuro-fuzzy system ⋮ Prototype based granular neuro-fuzzy system for regression task ⋮ GrDBSCAN: a granular density-based clustering algorithm ⋮ GrNFS: a granular neuro-fuzzy system for regression in large volume data ⋮ A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks

Uses Software

• UCI-ml
• ANFIS
• DB-KIT

Cites Work

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