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Volumn 4628 LNCS, Issue , 2007, Pages 47-58

Artificial immune systems for classification of petroleum well drilling operations

Author keywords

Artificial immune system; Classification task; Mud logging; Petroleum engineering

Indexed keywords

PARAMETER ESTIMATION; PATTERN RECOGNITION; PETROLEUM ENGINEERING; UNDERWATER DRILLING;

EID: 38149118033     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73922-7_5     Document Type: Conference Paper
Times cited : (14)

References (16)
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    • Watkins, A.1    Boggess, L.2
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    • Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm
    • Watkins, A., Timmis, J., Boggess, L.: Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm. Genetic Programming and Evolvable Machines 5(3), 291-317 (2004)
    • (2004) Genetic Programming and Evolvable Machines , vol.5 , Issue.3 , pp. 291-317
    • Watkins, A.1    Timmis, J.2    Boggess, L.3
  • 8
    • 0141463245 scopus 로고    scopus 로고
    • Artificial Immune Recognition System (AIRS): Revisions and Refinements
    • Timmis, J, Bentley, P.J, eds, University of Kent at Canterbury
    • Watkins, A., Timmis, J.: Artificial Immune Recognition System (AIRS): Revisions and Refinements. In: Timmis, J., Bentley, P.J. (eds.) Proc. of 1st International Conference on Artificial Immune Systems (ICARIS2002), pp. 173-181. University of Kent at Canterbury (2002)
    • (2002) Proc. of 1st International Conference on Artificial Immune Systems (ICARIS2002) , pp. 173-181
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    • Watkins, A., Timmis, J.: Exploiting Parallelism Inherent in AIRS, an Artificial Immune Classifier. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, 3239, pp. 427-438. Springer, Heidelberg (2004)
    • Watkins, A., Timmis, J.: Exploiting Parallelism Inherent in AIRS, an Artificial Immune Classifier. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 427-438. Springer, Heidelberg (2004)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.