Universal approximation of polygonal fuzzy neural networks in sense of \(K\)-integral norms

DOI10.1007/S11432-011-4364-YzbMath1267.68194OpenAlexW2050122389MaRDI QIDQ350989

Xiao-Ping Li, Gui-jun Wang

Publication date: 3 July 2013

Published in: Science China. Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11432-011-4364-y

zbMATH Keywords

\(K\)-integral norms\(K\)-quasi-additive integralspolygonal fuzzy neural networkspolygonal fuzzy numbersuniversal approximations

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Theory of fuzzy sets, etc. (03E72)

Related Items (2)

On polygonal fuzzy sets and numbers ⋮ Generalized \(K\)-Sugeno integrals and their equivalent representations

Cites Work

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• Analysis of approximation of continuous fuzzy functions by multivariate fuzzy polynomials
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• \(K\)-quasi-additive fuzzy integrals of set-valued mappings
• Universal approximations of continuous fuzzy-valued functions by multi-layer regular fuzzy neural networks

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