Title :
Design of fuzzy filters by genetic algorithms
Author :
Caponetto, R. ; Fortuna, L. ; Vinci, C.
Author_Institution :
Dipartimento Elettrico Elettronico e Sistemistico, Catania Univ., Italy
fDate :
30 May-2 Jun 1994
Abstract :
In this paper a new strategy for the design of fuzzy filters is proposed through the use of a genetic optimisation algorithm (GAs). The innovation of the proposed approach lies in the possibility to design fuzzy filters directly in the frequency domain. Comparisons between frequency responses of GAs fuzzy filters and traditional filters give satisfactory results, showing the validity of this technique
Keywords :
circuit optimisation; filters; frequency-domain analysis; fuzzy systems; genetic algorithms; design; frequency domain; frequency response; fuzzy filters; genetic algorithms; optimisation; Algorithm design and analysis; Computational efficiency; Design optimization; Frequency domain analysis; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Nonlinear filters; Technological innovation;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.409332
