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• W2412972302 abstract "This study proposes an improved imperialist competitive algorithm (IICA) for a TSK-type neural fuzzy controller (TNFC) in order to solve prediction problems and nonlinear control system problems. This study proposes the IICA in order to reduce the use of the control parameters. Therefore, the proposed IICA adopts a Gaussian distribution to improve the assimilation policy and the exploration ability of the global solution. Finally, the experimental results show that the proposed IICA better approximates the global optimal solution and that it has faster convergence compared with other methods." @default.
• W2412972302 created "2016-06-24" @default.
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• W2412972302 date "2016-04-01" @default.
• W2412972302 modified "2023-09-24" @default.
• W2412972302 title "Approximation and prediction using a TSK-type neural fuzzy controller with an improved imperialist competitive algorithm" @default.
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• W2412972302 doi "https://doi.org/10.1109/iccar.2016.7486715" @default.
• W2412972302 hasPublicationYear "2016" @default.
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