Numerical analysis of the learning of fuzzified neural networks from fuzzy if-then rules

DOI10.1016/S0165-0114(99)00070-6zbMath1013.68177OpenAlexW2049372989MaRDI QIDQ5937030

Manabu Nii, Hisao Ishibuchi

Publication date: 9 July 2003

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-0114(99)00070-6

zbMATH Keywords

fuzzified neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (10)

THREE-PARAMETER FUZZY ARITHMETIC APPROXIMATION OF L-R FUZZY NUMBERS FOR FUZZY NEURAL NETWORKS ⋮ Numerical solution of fully fuzzy linear systems by fuzzy neural network ⋮ Approximation of fuzzy functions by regular fuzzy neural networks ⋮ Simulation and evaluation of dual fully fuzzy linear systems by fuzzy neural network ⋮ Fuzzy polynomial regression with fuzzy neural networks ⋮ A Fuzzy Data Mining Algorithm for Finding Sequential Patterns ⋮ Evaluation of fuzzy regression models by fuzzy neural network ⋮ Numerical solutions of distributed diffusion Hopfield neural network equations ⋮ Evaluation of fully fuzzy matrix equations by fuzzy neural network ⋮ Simulation and evaluation of second-order fuzzy boundary value problems

Cites Work

• Learning by fuzzified neural networks
• Implementation of conjunctive and disjunctive fuzzy logic rules with neural networks
• Interpolation of fuzzy if-then rules by neural networks
• Fuzzy neural network with fuzzy signals and weights
• Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks
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