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Recurrent Networks for Integrated Navigation

  • Jianguo Fu
  • Yingcai Wang
  • Jianhua Li
  • Zhenyu Zheng
  • Xingbo Yin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3498)

Abstract

A novel neural-network-compensated Kalman filter for integrated navigation system was proposed. Based on the similarity of operation principle between Elman networks and non-linear ARMA model, the Elman network is employed as a compensating error estimator to improve accuracy of the Kalman filter. The proposed architecture is evaluated with the acquired data from a naval vessel. And the results show that the presented method can markedly attenuate the effect of interferes to Kalman filter, and improve the precision of the integrated navigation system.

Keywords

Hide Layer Kalman Filter Recurrent Network Time Series Prediction Recurrent Connection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Haykin, S.: Kalman Filtering and Neural Networks. John Wiley & Sons, Chichester (2001)CrossRefGoogle Scholar
  2. 2.
    Haykin, S.: Neural Networks, 2nd edn. Prentice-Hall, Englewood Cliffs (1999)zbMATHGoogle Scholar
  3. 3.
    Yang, M.H., Kriegman, D.J., Ahuja, N.: Detecting Faces in Images: A Survey. IEEE Trans. on Pattern Analysis and Machine Intelligence 24, 34–58 (2002)CrossRefGoogle Scholar
  4. 4.
    Igel, C., Kreutz, M.: Operator Adaptation in Evolutionary Computation and Its Application to Structure Optimization of Neural Networks. Neurocomputing 55, 347–361 (2003)CrossRefGoogle Scholar
  5. 5.
    Elman, J.L.: Finding Structure in Time. Cognitive Science 14, 179–211 (1990)CrossRefGoogle Scholar
  6. 6.
    Connor, J.T., Martin, D., Atlas, L.E.: Recurrent Neural Networks and Robust Time Series Prediction. IEEE Transactions on Neural networks 5, 240–254 (1994)CrossRefGoogle Scholar
  7. 7.
    Gilde, C.: Time Series Analysis and Prediction Using Recurrent Gated Experts. Master’s Thesis, Department Of Computer Science, University of Skövde, Sweden (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jianguo Fu
    • 1
  • Yingcai Wang
    • 1
  • Jianhua Li
    • 1
  • Zhenyu Zheng
    • 1
  • Xingbo Yin
    • 1
  1. 1.Department of NavigationDalian Naval AcademyDalianChina

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