Research on Modern Higher Education | |
Research on measuring pipe tray processing man-hour quota based on genetic neural network | |
Yanhua Pan1  | |
关键词: pipe tray; man-hour quota; genetic algorithm; neural network algorithm; MATLAB; | |
DOI : 10.24104/rmhe/2017.04.01005 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Asian Academic Press Co Limited | |
【 摘 要 】
Tray is the unit of infield fabrication of the ship pipes. The number of pipes in each tray is different, and the structure of pipe itself is complex, resulting in more difficulty in determination of the entire pipe tray processing man-hour. In order to exactly measure the pipe tray man-hour quota, this paper analyzes main characteristic quantity of the pipe tray and selects the relevant information of 60characteristic quantities of the pipe tray for analysis based on the genetic neural algorithm, and uses MATLAB software simulated data curve to construct a model for measurement of tray pipe processing man-hour, and substitute into new tray pipe man-hour data for verification. The research results show that it is feasible to use this method to predict the pipe tray processing man-hour. The conclusion has some reference values for the prediction of the pipe tray processing man-hour.
【 授权许可】
CC BY-NC
【 预 览 】
Files | Size | Format | View |
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RO201901218461815ZK.pdf | 1670KB | download |