A unified neurofuzzy model for classification

DOI10.1080/00207721.2013.763301zbMath1317.62055OpenAlexW2170490894MaRDI QIDQ5499819

Chris Harris, Xia Hong, Ming Gao

Publication date: 31 July 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2013.763301

zbMATH Keywords

neurofuzzy modellingGaussian mixture modelsrule reductionsubspace membership functions

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Uses Software

• UCI-ml
• PRMLT

Cites Work

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• Polynomial splines and their tensor products in extended linear modeling. (With discussions)
• Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization.
• Adaptive Modelling, Estimation and Fusion from Data
• Fuzzy identification of systems and its applications to modeling and control
• Fuzzy sets
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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