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• W1569686669 abstract "First, a fuzzy system based on if-then rules and with parametric consequences is recalled. Then, it is shown that the global and local -insensitive learning of the above fuzzy system may be presented as a combination of both an -insensitive gradient method and solving a system of linear inequalities. Examples are given of using the introduced method to design fuzzy models of real-life data. Simulation results show an improvement in the generalization ability of a fuzzy system trained by the new method compared with the traditional and other -insensitive learning methods." @default.
• W1569686669 created "2016-06-24" @default.
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• W1569686669 date "2005-01-01" @default.
• W1569686669 modified "2023-10-16" @default.
• W1569686669 title "A fuzzy system with ε-insensitive learning of premises and consequences of if-then rules" @default.
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