Extracting interpretable fuzzy rules from RBF networks

DOI10.1023/A:1023642126478zbMath1038.68097MaRDI QIDQ1404282

Yaochu Jin, Bernhard Sendhoff

Publication date: 21 August 2003

Published in: Neural Processing Letters (Search for Journal in Brave)

zbMATH Keywords

radial basis function networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Distinguishability quantification of fuzzy sets ⋮ ON THE ROLE OF INTERPRETABILITY IN FUZZY DATA MINING ⋮ Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction ⋮ The TaSe-NF model for function approximation problems: approaching local and global modelling ⋮ Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure

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