| 基于神经网络的船体结构设计预测与评估 |
| |
| 引用本文： | 杨培青,管义锋. 基于神经网络的船体结构设计预测与评估[J]. 交通与计算机, 2006, 24(6): 44-47 |
| |
| 作者姓名： | 杨培青 管义锋 |
| |
| 作者单位： | 江苏科技大学,镇江,212003 |
| |
| 摘 要： | 运用前向多层神经网络理论，采用改进BP网络，将人工神经网络应用到船体结构设计的预测与评估中，通过对1万～4万t级散货船训练，并将仿真得到的评估结果与文献中利用模糊评判得到的数据相比较，结果表明：所应用的理论可靠、精度足够。
|
| 关 键 词： | 神经网络 船体结构 散货船 |
| 收稿时间： | 2006-07-31 |
| 修稿时间： | 2006-10-30 |
Prediction and Evaluation of Design of Ship Structure Based on Neural Network |
| |
| YANG Peiqing,GUAN Yifeng. Prediction and Evaluation of Design of Ship Structure Based on Neural Network[J]. Computer and Communications, 2006, 24(6): 44-47 |
| |
| Authors: | YANG Peiqing GUAN Yifeng |
| |
| Affiliation: | Jiangsu University of Science and Technology,Zhenjiang 212003, China |
| |
| Abstract: | In this paper, the authors make use of the forward multi-layer neural work theory to apply BP network to predicting and evaluating design of ship structure. Through training 10,000-40,000t bulk cargo carrier, the authors compare the results of simulation with the data obtained by fuzzy synthetic evaluation in literatures. The results show that the theory is correct, precise, and valuable. |
| |
| Keywords: | neural network ship structure~ bulk cargo carrier |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
