Application of Neural Network on Wave Impact Force Prediction

  • Hongyu Zhang
  • Yongxue Wang
  • Bing Ren
Conference paper

DOI: 10.1007/978-3-540-28648-6_136

Volume 3174 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Zhang H., Wang Y., Ren B. (2004) Application of Neural Network on Wave Impact Force Prediction. In: Yin FL., Wang J., Guo C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg

Abstract

This paper investigates the regular wave impact force on open-piled wharf deck by Artificial Neural Network. A three-layered neural network is employed and the units of input layer are wave period, T, incident wave height, H, and relative clearance, s/H. The unit of output layer is the maximum wave impact force, Fmax. It is shown that the neural network with parameters determined through self-learning can predict wave impact force reasonably.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Hongyu Zhang
    • 1
  • Yongxue Wang
    • 1
  • Bing Ren
    • 1
  1. 1.State Key Lab. of Coastal and Offshore EngineeringDalian University of TechnologyDalianP. R. China