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Volumn 4233 LNCS - II, Issue , 2006, Pages 568-577

A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters

Author keywords

Fuzzy logic; Genetic algorithm; IIR filter

Indexed keywords

BANDPASS FILTERS; COMPUTATIONAL METHODS; FUZZY SETS; GENES; GENETIC ALGORITHMS; HIGH PASS FILTERS; LOW PASS FILTERS; NOTCH FILTERS; OPTIMIZATION;

EID: 33750738561     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893257_64     Document Type: Conference Paper
Times cited : (1)

References (10)
  • 2
    • 0032094818 scopus 로고    scopus 로고
    • Design and optimization of IIR filter structure using hierarchical genetic algorithms
    • Tang, K. S., Man, K. F., Kwong S., Liu, Z. F.: Design and optimization of IIR filter structure using hierarchical genetic algorithms. IEEE Trans on Industrial Electronics, Vol. 45, Issue 3 (1998) 481-487
    • (1998) IEEE Trans on Industrial Electronics , vol.45 , Issue.3 , pp. 481-487
    • Tang, K.S.1    Man, K.F.2    Kwong, S.3    Liu, Z.F.4
  • 7
    • 27844516612 scopus 로고    scopus 로고
    • A Jumping gene algorithm for multiobjective resource management in wideband CDMA systems
    • Chan, T. M., Man, K. F., Tang, K. S., Kwong, S.: A Jumping gene algorithm for multiobjective resource management in wideband CDMA systems. The Computer Journal, Vol. 48, No. 6 (2005) 749-768
    • (2005) The Computer Journal , vol.48 , Issue.6 , pp. 749-768
    • Chan, T.M.1    Man, K.F.2    Tang, K.S.3    Kwong, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.