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IEEE/ICACT20230071 Slide.13        [Big Slide]	Oral Presentation
	Methods – ANFIS ANFIS¡¯s architecture proposed by Kosko et al [17,18] is computed using the methods of both artificial neural network and fuzzy logic. This architecture combines the machine learning of artificial neural network and the if-then rules of Fuzzy logic. The peak values of histogram of the errors of eigenvalues were simulated as the input of ANFIS system and the true (0) or false (100) values were the given training results. The simulation was computed in MatLab users¡¯ development environment.

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