Paper Title:
Regression Analysis of Ship Principal Dimensions Based on Improved PSO-BP Algorithm
  Abstract

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.

  Info
Periodical
Advanced Materials Research (Volumes 308-310)
Chapter
Intelligent Optimization Design
Edited by
Jian Gao
Pages
1029-1032
DOI
10.4028/www.scientific.net/AMR.308-310.1029
Citation
Y. H. Hou, S. Huang, W. Q. Wang, Y. L. Hu, "Regression Analysis of Ship Principal Dimensions Based on Improved PSO-BP Algorithm", Advanced Materials Research, Vols. 308-310, pp. 1029-1032, 2011
Online since
August 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Shao Xue Jing, Wei Kuan Jia
Chapter 12: Optimization and Control Algorithms
Abstract:When we manipulate high dimensional data with Elman neural network, many characteristic variables provide enough information, but too many...
945