Regression Analysis of Ship Principal DimensionsBased on Improved PSO-BP Algorithm

被引：3
|
作者：
Hou, Yuan-hang [1 ]
Huang, Sheng [1 ]
Wang, Wen-quan [1 ]
Hu, Yu-long [1 ]
机构：
[1] Harbin Engn Univ, Coll Shipbldg Engn, Harbin 150001, Peoples R China
来源：
ADVANCED DESIGN TECHNOLOGY, PTS 1-3 | 2011年 / 308-310卷
关键词：
principal dimensions; regression analysis; improved PSO; BP network;
D O I：
10.4028/www.scientific.net/AMR.308-310.1029
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The principal dimensions of naval ships regression analysis via trained BP network by improved PSO is proposed in this paper. Firstly, learning factor is adjusted dynamically, and the improved PSO is implanted in the BP network. Then improved PSO-BP is imported when establishing the regression model of ships' principal dimensions and comparing its results with the results of polynomial regression. The result shows that BP network trained by improved PSO has higher accuracy and fine character of subsection smooth. Therefore, the model has guidance effect of importance to ship's top demonstration and preliminary design.
引用
收藏
页码：1029 / 1032
页数：4
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