计算机与数字工程2019，Vol.47Issue(2)：296-299,4.DOI:10.3969/j.issn.1672-9722.2019.02.008
考虑时滞影响的绞吸挖泥船产量预测
Production Prediction of Cutter Suction Dredger in Consideration of Time Delay
陈秀静 1倪福生 2魏长赟 1杨金宝2
作者信息
- 1. 疏浚技术教育部工程研究中心 常州 213022
- 2. 河海大学机电工程学院 常州 213022
- 折叠
摘要
Abstract
The prediction model of BP neural network with time delay is proposed in order to improve the prediction accuracy of cutter suction dredger(CSD). The problem of time delay and lag between slurry density and the degree of vacuum is intensively an?alyzed. The proposed model is built on the basis of the input factors of BP neural network model,i.e.,the current of the cutter head, the velocity of pipeline transportation,the degree of vacuum and the swing speed,and the output factor,i.e.,slurry density. The re?sults show that the method can well predict the dredger production and can be used to predict and evaluate the actual production of a CSD.关键词
疏浚/绞吸挖泥船/时间滞后/BP神经网络/产量预测Key words
dredge/cutter suction dredger/time delay/BP neural network/production prediction分类
信息技术与安全科学引用本文复制引用
陈秀静,倪福生,魏长赟,杨金宝..考虑时滞影响的绞吸挖泥船产量预测[J].计算机与数字工程,2019,47(2):296-299,4.
