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Volumn 36, Issue 11, 1998, Pages 2094-2101

Air data sensing from surface pressure measurements using a neural network method

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT; LEARNING SYSTEMS; NEURAL NETWORKS; SENSOR DATA FUSION;

EID: 0032207979     PISSN: 00011452     EISSN: None     Source Type: Journal    
DOI: 10.2514/2.312     Document Type: Article
Times cited : (50)

References (9)
  • 3
    • 3242823988 scopus 로고    scopus 로고
    • Architecture, Algorithms, and Calibration of the X-33 Flush Airdata Sensing (FADS) System
    • Jan.
    • Whitmore, S. A., Cobleigh, B. R., and Haering, E. A., "Architecture, Algorithms, and Calibration of the X-33 Flush Airdata Sensing (FADS) System," AIAA Paper 98-0201, Jan. 1998.
    • (1998) AIAA Paper 98-0201
    • Whitmore, S.A.1    Cobleigh, B.R.2    Haering, E.A.3
  • 8
    • 0028201982 scopus 로고
    • Three Algorithms for Estimating the Domain of Validity of Feedforward Neural Networks
    • Courrieu, P., "Three Algorithms for Estimating the Domain of Validity of Feedforward Neural Networks," Neural Networks, Vol. 7, No. 1, 1994, pp. 169-174.
    • (1994) Neural Networks , vol.7 , Issue.1 , pp. 169-174
    • Courrieu, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.