Analyses of regular fuzzy neural networks for approximation capabilities
Regular fuzzy neural networks (RFNNs) are proved to be the universal approximator to extended functions. By defining the multivariable trapezoidal F functions with extended addition of F numbers it is shown that the above conclusions hold for RFNNs with multi-input unit.
scientific article; zbMATH DE number 1517231