Learning by fuzzified neural networks

DOI10.1016/0888-613X(95)00060-TzbMath0956.68527OpenAlexW2083069513WikidataQ128111141 ScholiaQ128111141MaRDI QIDQ1125775

Hisao Ishibuchi, Kouichi Morioka, I. Burhan Türksen

Publication date: 1995

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0888-613x(95)00060-t

zbMATH Keywords

learning algorithmfuzzified feedforward neural network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (8)

THREE-PARAMETER FUZZY ARITHMETIC APPROXIMATION OF L-R FUZZY NUMBERS FOR FUZZY NEURAL NETWORKS ⋮ Structural parameters identification of uncertain multi-storey shear buildings using fuzzy neural network modelling ⋮ Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks ⋮ Numerical analysis of the learning of fuzzified neural networks from fuzzy if-then rules ⋮ Simulation and evaluation of second-order fuzzy boundary value problems ⋮ Solving fuzzy Volterra-Fredholm integral equation by fuzzy artificial neural network ⋮ Neural networks for soft decision making. ⋮ Fuzzified neural network based on fuzzy number operations

Cites Work

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• A fuzzy ranking of fuzzy numbers
• The concept of a linguistic variable and its application to approximate reasoning. III
• Interpolation of fuzzy if-then rules by neural networks
• Can fuzzy neural nets approximate continuous fuzzy functions?
• Fuzzy neural network with fuzzy signals and weights

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