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Volumn 6 CCIS, Issue , 2008, Pages 569-576

A review on concepts, algorithms and recognition based applications of artificial immune system

Author keywords

Artificial Immune System; Immune System; Learning; Recognition

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; BIO-INSPIRED; COMPUTATIONAL MODEL; IMMUNE SYSTEM; LEARNING; RECOGNITION;

EID: 78449259081     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-89985-3_70     Document Type: Conference Paper
Times cited : (6)

References (20)
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    • Artificial Immune Systems as a novel Soft Computing Paradigm
    • de Castro, L.N., Timmis, J.: Artificial Immune Systems as a novel Soft Computing Paradigm. Soft. Comp. J. 7, 7 (2003)
    • (2003) Soft. Comp. J. , vol.7 , pp. 7
    • De Castro, L.N.1    Timmis, J.2
  • 7
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    • Architecture for an artificial immune system
    • Hofmeyr, S.A., Forrest, S.: Architecture for an artificial immune system. Evolutionary Computation 8(4), 443-473 (2000)
    • (2000) Evolutionary Computation , vol.8 , Issue.4 , pp. 443-473
    • Hofmeyr, S.A.1    Forrest, S.2
  • 9
    • 0037856497 scopus 로고    scopus 로고
    • The clonal selection algorithm with engineering applications
    • de Castro, L.N., Von Zuben, F.J.: The clonal selection algorithm with engineering applications. In: Proceedings of GECCO 2000, pp. 36-39 (2000)
    • (2000) Proceedings of GECCO 2000 , pp. 36-39
    • De Castro, L.N.1    Von Zuben, F.J.2
  • 11
    • 0012708708 scopus 로고    scopus 로고
    • AiNet: An artificial immune network for data analysis
    • Abbass, H.A., Sarker, R.A., Newton, C.S. (eds.) Idea Group Publishing, USA
    • de Castro, L.N., Von Zuben, F.J.: aiNet: An artificial immune network for data analysis. In: Abbass, H.A., Sarker, R.A., Newton, C.S. (eds.) Data Mining: A Heuristic Approach, pp. 231-259. Idea Group Publishing, USA (2001)
    • (2001) Data Mining: A Heuristic Approach , pp. 231-259
    • De Castro, L.N.1    Von Zuben, F.J.2
  • 14
    • 33745892717 scopus 로고    scopus 로고
    • MILA - Multilevel immune learning algorithm
    • Cantú-Paz, E., Foster, J.A., Deb, K., Davis, L., Roy, R., O'Reilly, U.-M., Beyer, H.-G., Kendall, G., Wilson, S.W., Harman, M., Wegener, J., Dasgupta, D., Potter, M.A., Schultz, A., Dowsland, K.A., Jonoska, N., Miller, J., Standish, R.K. (eds.) GECCO 2003. Springer, Heidelberg
    • Dasgupta, D., Yu, S., Majumdar, N.S.: MILA - multilevel immune learning algorithm. In: Cantú-Paz, E., Foster, J.A., Deb, K., Davis, L., Roy, R., O'Reilly, U.-M., Beyer, H.-G., Kendall, G., Wilson, S.W., Harman, M., Wegener, J., Dasgupta, D., Potter, M.A., Schultz, A., Dowsland, K.A., Jonoska, N., Miller, J., Standish, R.K. (eds.) GECCO 2003. LNCS, vol. 2723, pp. 183-194. Springer, Heidelberg (2003)
    • (2003) LNCS , vol.2723 , pp. 183-194
    • Dasgupta, D.1    Yu, S.2    Majumdar, N.S.3
  • 16
    • 0033986060 scopus 로고    scopus 로고
    • The Immune System as a Model for Pattern Recognition and Classification
    • Carter, J.H.: The Immune System as a Model for Pattern Recognition and Classification. Journal of the American Medical Informatics Association 7(1), 28-41 (2000)
    • (2000) Journal of the American Medical Informatics Association , vol.7 , Issue.1 , pp. 28-41
    • Carter, J.H.1
  • 17
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    • An Immunogenetic Approach in Chemical Spectrum Recognition
    • Ghosh, T. (ed.) Springer, Heidelberg
    • Cao, Y., Dasgupta, D.: An Immunogenetic Approach in Chemical Spectrum Recognition. In: Ghosh, T. (ed.) Advances in Evolutionary Computing. Springer, Heidelberg (2003)
    • (2003) Advances in Evolutionary Computing
    • Cao, Y.1    Dasgupta, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.