| 基于神经网络的船体阻力主成分分析估算法 |
| |
| 引用本文： | 张逸,刘卫斌,吴华伟.基于神经网络的船体阻力主成分分析估算法[J].船海工程,2012,41(5):64-67. |
| |
| 作者姓名： | 张逸 刘卫斌 吴华伟 |
| |
| 作者单位： | 华中科技大学 船舶与海洋工程学院,武汉,430074 |
| |
| 摘 要： | 为实现在损失信息最小的情况下高效预报船体阻力,对采用神经网络来估算船体阻力的方法进行分析,利用主成分分析法降低分析船型矢量P的维数。
|
| 关 键 词： | 神经网络 主成分分析法 阻力估算 |
The Prediction Method of Principal Component of Ship Resistance Based on Neural Network |
| |
| Authors: | ZHANG Yi LIU Wei-bin WU Hua-wei |
| |
| Institution: | (School of Naval Architecture and Ocean Engineering,Huazhong University of Science and Technology,Wuhan 430074,China) |
| |
| Abstract: | In order to predict the ship resistance with high efficiency and least information loss,the neural network method is undertaken to estimate ship resistance,and the principal component analysis was used to reduce the dimension of hull form vector P. |
| |
| Keywords: | neural network principal component analysis ship resistance predictions |
| 本文献已被 维普 万方数据 等数据库收录！ |
