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
相关论文
共 50 条
  • [31] Group Decision Making of Naval Ship Principal Dimensions Based on PSO Algorithm
    Hou, Yuanhang
    Huang, Sheng
    Hu, Yulong
    Meng, Xiangyin
    Wang, Wenquan
    Wang, Chao
    [J]. ADVANCED MANUFACTURING SYSTEMS, PTS 1-3, 2011, 201-203 : 1233 - 1237
  • [32] Combinatorial optimization analysis of the production process of C4 olefins from ethanol based on the PSO-BP algorithm
    He, Ze-Hua
    [J]. JOURNAL OF COMBINATORIAL OPTIMIZATION, 2023, 45 (05)
  • [33] Analysis of Risk-Based Airport Passenger Classification with PSO-BP Neural Network
    Zhao, Zhenwu
    Zhang, Chenchen
    Guo, Dongdan
    [J]. PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 7344 - 7349
  • [34] RETRACTED: Information System Security Evaluation Algorithm Based on PSO-BP Neural Network (Retracted Article)
    Zheng, Qinghua
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 2021
  • [35] Application of Improved PSO-BP Neural Network in Cold Load Forecasting of Mall Air-Conditioning
    Yu, JunQi
    Jing, WenQiang
    Zhao, AnJun
    Ren, YanHuan
    Zhou, Meng
    [J]. JOURNAL OF CONTROL SCIENCE AND ENGINEERING, 2019, 2019
  • [36] IMPROVED nu-SUPPORT VECTOR REGRESSION ALGORITHM BASED ON THE PRINCIPAL COMPONENT ANALYSIS
    Rashid, Abdullah Mohammed
    Midi, Habshah
    [J]. ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2023, 57 (02): : 41 - 56
  • [37] Prediction method of surface settlement of rectangular pipe jacking tunnel based on improved PSO-BP neural network
    Hu, Da
    Hu, Yongjia
    Yi, Shun
    Liang, Xiaoqiang
    Li, Yongsuo
    Yang, Xian
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01)
  • [38] Prediction method of surface settlement of rectangular pipe jacking tunnel based on improved PSO-BP neural network
    Da Hu
    Yongjia Hu
    Shun Yi
    Xiaoqiang Liang
    Yongsuo Li
    Xian Yang
    [J]. Scientific Reports, 13
  • [39] Modeling of mechanical properties of as-cast Mg-Li-Al alloys based on PSO-BP algorithm
    Li Ming
    Hao Hai
    Zhang Aimin
    Song Yingde
    Liu Zhao
    Zhang Xingguo
    [J]. CHINA FOUNDRY, 2012, 9 (02) : 119 - 124
  • [40] A novel artificial neural network based on hybrid PSO-BP algorithm in the application of adaptive PMD compensation system
    Chen, Ying
    Zhu, Qiguang
    Li, Zhiquan
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 3, PROCEEDINGS, 2007, 4493 : 311 - +
12345