• DocumentCode
    2328148
  • Title

    Neural network prediction of the wave influence on the yaw motion of a ship

  • Author

    Nicolau, Viorel ; Aiordachioaie, Dorel ; Popa, Rustem

  • Author_Institution
    Dept. of Electron. & Telecommun., Dunarea de Jos Univ., Galati, Romania
  • Volume
    4
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    2801
  • Abstract
    Knowing the wave influence on the yaw motion of a ship, a more complex heading control law for autopilot system can be implemented. The time series prediction of the yaw angle´s measured values using neural networks has been investigated in this paper. Several neural networks are analyzed using different training data sets and noise conditions. The predictor is working well even if both the training and testing sets are affected by measurement noise.
  • Keywords
    motion control; neural nets; prediction theory; ships; time series; autopilot system; neural network prediction; ship; time series prediction; wave influence; yaw motion; Control systems; Electronic mail; Frequency; Function approximation; Marine vehicles; Motion control; Multi-layer neural network; Neural networks; Sea measurements; Telecommunication control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1381100
  • Filename
    1381100