首页    期刊浏览 2025年12月22日 星期一
登录注册

文章基本信息

  • 标题:Designing Back Propagation Neural Network for Ship Seakeeping Investigations
  • 本地全文:下载
  • 作者:Mohsen Khosravi Babadi ; Hassan Ghassemi
  • 期刊名称:American Journal of Mechanical Engineering
  • 印刷版ISSN:2328-4102
  • 电子版ISSN:2328-4110
  • 出版年度:2014
  • 卷号:2
  • 期号:1
  • 页码:21-27
  • DOI:10.12691/ajme-2-1-4
  • 语种:English
  • 出版社:Science and Education Publishing
  • 摘要:In recent years, there has been more attention to predict the behavior of vessel in the sea (sea keeping). The more the speed of vessel increases in the high speed and light vessels, the more calculations are necessary. In this paper, a BP (back propagation) neural network is presented that keeps sea keeping indexes under the categories of input and output of the network. Evaluation is based on a corvette model, and the stability parameter of wave has been evaluated by using MATLAB software. Comparison between the network output values and the expected values represent the amount of error, which is negligible, indicating that assessing the wave’s stability values is possible via using (BP) back propagation neural network.
  • 关键词:sea-keeping analysis; back-propagation neural networks
国家哲学社会科学文献中心版权所有