Analyses of regular fuzzy neural networks for approximation capabilities
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Publication:1582670
DOI10.1016/S0165-0114(98)00248-6zbMath0966.93064MaRDI QIDQ1582670
Publication date: 6 February 2001
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20) Approximations and expansions (41A99)
Related Items (10)
THREE-PARAMETER FUZZY ARITHMETIC APPROXIMATION OF L-R FUZZY NUMBERS FOR FUZZY NEURAL NETWORKS ⋮ Approximation of level continuous fuzzy-valued functions by multilayer regular fuzzy neural networks ⋮ Approximation capabilities of multilayer fuzzy neural networks on the set of fuzzy-valued functions ⋮ Approximation of fuzzy-valued functions by regular fuzzy neural networks and the accuracy analysis ⋮ Approximation of fuzzy functions by regular fuzzy neural networks ⋮ Application of T-S fuzzy neural network based on declination compensation in soft sensing ⋮ Universal approximations of continuous fuzzy-valued functions by multi-layer regular fuzzy neural networks ⋮ Approximation analysis of feedforward regular fuzzy neural network with two hidden layers ⋮ Analysis of approximation of continuous fuzzy functions by multivariate fuzzy polynomials ⋮ Approximation of fuzzy neural networks based on Choquet integral
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- Sugeno type controllers are universal controllers
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- Can fuzzy neural nets approximate continuous fuzzy functions?
- Limit theorems for fuzzy random variables
- An Embedding Theorem for Spaces of Convex Sets
- Approximation by superpositions of a sigmoidal function
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