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Volumn 2709, Issue , 2003, Pages 375-384

Classification of aircraft maneuvers for fault detection

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT DETECTION; CLASSIFICATION (OF INFORMATION); FIGHTER AIRCRAFT; TRAINING AIRCRAFT;

EID: 33748712914     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44938-8_38     Document Type: Article
Times cited : (10)

References (12)
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  • 3
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    • Todd K. Leen, Thomas G. Dietterich, and Volker Tresp, editors, Morgan Kaufmann
    • Paul Hayton, Bernhard Schölkopf, Linel Tarassenko, and Paul Anusiz. Support vector novelty detection applied to jet engine vibration spectra. In Todd K. Leen, Thomas G. Dietterich, and Volker Tresp, editors, Advances in Neural Information Processing Systems-13, pages 946-952. Morgan Kaufmann, 2001.
    • (2001) Advances in Neural Information Processing Systems-13 , pp. 946-952
    • Hayton, P.1    Schölkopf, B.2    Tarassenko, L.3    Anusiz, P.4
  • 6
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    • Combining classifiers: A theoretical framework
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    • D.A. McAdams and I.Y. Tumer. Towards failure modeling in complex dynamic systems: impact of design and manufacturing variations. In ASME Design for Manufacturing Conference, volume DETC2002/DFM-34161, September 2002.
    • (2002) ASME Design for Manufacturing Conference , vol.DETC2002-DFM-34161
    • McAdams, D.A.1    Tumer, I.Y.2
  • 9
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    • On the effects of production and maintenance variations on machinery performance
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    • Tumer, I.Y.1    Huff, E.M.2
  • 10
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    • Error correlation and error reduction in ensemble classifiers
    • Combining Artificial Neural Networks: Ensemble Approaches
    • K. Tumer and J. Ghosh. Error correlation and error reduction in ensemble classifiers. Connection Science, Special Issue on Combining Artificial Neural Networks: Ensemble Approaches, 8(3 & 4):385-404, 1996.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.