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Volumn 1, Issue , 2003, Pages 810-813

Modeling random gyro drift by Time Series neural networks and by traditional method

Author keywords

Gyro drift; Modeling; Neural networks; Time series

Indexed keywords

GYRO DRIFT; MODELING; MODELING AND FORECASTING; RANDOM DRIFT; STRAP-DOWN INERTIAL NAVIGATION SYSTEMS; TIME SERIES METHOD;

EID: 78650076606     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNNSP.2003.1279399     Document Type: Conference Paper
Times cited : (52)

References (9)
  • 4
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    • Stationary and nonstationary characteristics of gyro drift rate
    • Oct. 1970
    • Oravetz, A.S., and Sand berg, H.J. (1970). Stationary and nonstationary characteristics of gyro drift rate. AIAA Journal. (Oct. 1970), 1766-1772.
    • (1970) AIAA Journal , pp. 1766-1772
    • Oravetz, A.S.1    Sand Berg, H.J.2
  • 6
    • 0022756808 scopus 로고
    • Modeling random gyro drift rate by data dependent systems
    • July 1986
    • Sudhakar M. Pandit, Weibang Zhang (1986). Modeling random gyro drift rate by Data Dependent Systems. IEEE Transactions on Aerospace and Electronic Systems. Vol. AES-22, No.4 July 1986, 455-459.
    • (1986) IEEE Transactions on Aerospace and Electronic Systems , vol.AES-22 , Issue.4 , pp. 455-459
    • Pandit, S.M.1    Zhang, W.2
  • 7
    • 0027542458 scopus 로고
    • Statistical analysis of the single-layer backpropagation algorithm: Part 1 - Mean weight behavior
    • Bershad, N.J., Ahynk, J.J. and Feintuch, P.L., Statistical analysis of the single-layer backpropagation algorithm: Part 1 - Mean weight behavior, IEEE Trans., SP-41, No.2, 1993, pp.573-582.
    • (1993) IEEE Trans. , vol.SP-41 , Issue.2 , pp. 573-582
    • Bershad, N.J.1    Ahynk, J.J.2    Feintuch, P.L.3
  • 8
    • 0027539557 scopus 로고
    • Statistical analysis of the single-layer backpropagation algorithm: Part 2 - MSE and classification performance
    • Bershad, N.J., Ahynk, J.J. and Feintuch, P.L., Statistical analysis of the single-layer backpropagation algorithm: Part 2 - MSE and classification performance, IEEE Trans., SP-41, No.2, 1993, pp.583-591.
    • (1993) IEEE Trans. , vol.SP-41 , Issue.2 , pp. 583-591
    • Bershad, N.J.1    Ahynk, J.J.2    Feintuch, P.L.3
  • 9
    • 0031191950 scopus 로고    scopus 로고
    • Neural networks and traditional time series methods: A synergistic combination in state economic forecasts
    • IEEE Transactions on Jul
    • Hansen, J.V.; Nelson, R.D., Neural networks and traditional time series methods: a synergistic combination in state economic forecasts. Neural Networks, IEEE Transactions on, Vol. 8 Issue: 4, Jul 1997, pp: 863-873
    • (1997) Neural Networks , vol.8 , Issue.4 , pp. 863-873
    • Hansen, J.V.1    Nelson, R.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.