• DocumentCode
    589412
  • Title

    The Evaluation of Reliability in the Process of Shipbuilding Based on Wavelet Neural Network

  • Author

    Hui Chen ; Rong Xie

  • Author_Institution
    Dept. of Ship Eng., Jiangsu Maritime Inst., Nanjing, China
  • Volume
    1
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    205
  • Lastpage
    208
  • Abstract
    The system of reliability in the process of shipbuilding shows the characteristics of dynamics, randomness and uncertainty, and the system is a typical non-linear system. Due to the limitations of traditional mathematical methods solving the non-linear system, this paper applies the wavelet neural network model for reliability evaluation based on the index system and weight algorithm. Results prove that the wavelet neural network model can solve the evaluation problems in the non-linear system, and it can do better than the BP artificial neural networks in fitting accuracy and convergence rate, so the application of wavelet neural network model has an important value.
  • Keywords
    neural nets; nonlinear systems; reliability; shipbuilding industry; wavelet transforms; convergence rate; index system; nonlinear system; reliability evaluation; shipbuilding; wavelet neural network; weight algorithm; Artificial neural networks; Indexes; Marine vehicles; Mathematical model; Reliability; Wavelet transforms; reliability evalaution; shipbuilding; wavelet neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.59
  • Filename
    6406954