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Volumn 2006, Issue , 2006, Pages 1598-1602

Evolving Neural Network Classifiers and Feature Subset Using Artificial Fish Swarm

Author keywords

Artificial fish swarm algorithm; Feature selection; Neural network; Optimization

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA REDUCTION; ERROR ANALYSIS; EVOLUTIONARY ALGORITHMS; FEATURE EXTRACTION; OPTIMIZATION;

EID: 34247213842     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMA.2006.257414     Document Type: Conference Paper
Times cited : (32)

References (7)
  • 1
    • 0034061686 scopus 로고    scopus 로고
    • Variable selection using neural-network models
    • G.Castellano and A.M.Fanelli, "Variable selection using neural-network models," Neurocomputing, vol. 31, pp. 1-13, 2000.
    • (2000) Neurocomputing , vol.31 , pp. 1-13
    • Castellano, G.1    Fanelli, A.M.2
  • 2
    • 12844283500 scopus 로고    scopus 로고
    • A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models
    • A. Alexandridisa, et al, "A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models", Chemometrics and intelligent laboratory systems, vol. 75, pp. 149-162, 2005.
    • (2005) Chemometrics and intelligent laboratory systems , vol.75 , pp. 149-162
    • Alexandridisa, A.1
  • 4
    • 3543131353 scopus 로고    scopus 로고
    • Hybrid neural network and genetic algorithm based machining feature recognition
    • N. ÖztÜrk and F. ÖztÜrk, "Hybrid neural network and genetic algorithm based machining feature recognition", Journal of Intelligent Manufacturing, vol. 15, pp. 287-298, 2004.
    • (2004) Journal of Intelligent Manufacturing , vol.15 , pp. 287-298
    • ÖztÜrk, N.1    ÖztÜrk, F.2
  • 5
    • 0036881676 scopus 로고    scopus 로고
    • An Optimizing method based on autonomous animals: Fish-swarm algorithm
    • L.X.Li, Z.J.Shao and J.X.Qian, "An Optimizing method based on autonomous animals: fish-swarm algorithm", Systems Engineering Theory & Practice, vol. 22, no. 11, pp. 32-38, 2002.
    • (2002) Systems Engineering Theory & Practice , vol.22 , Issue.11 , pp. 32-38
    • Li, L.X.1    Shao, Z.J.2    Qian, J.X.3
  • 6
    • 34247201944 scopus 로고    scopus 로고
    • The study of high efficiency and intelligent optimization
    • F.G.Can and D.Y.Yang, "The study of high efficiency and intelligent optimization", Journal of Materials Processing Technology, vol. 149, pp. 83-87, 2004.
    • (2004) Journal of Materials Processing Technology , vol.149 , pp. 83-87
    • Can, F.G.1    Yang, D.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.