期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Equipment Maintenance Material Demand Forecasting Based on Gray-Markov Model
1
作者 毕坤鹏 张宏运 +1 位作者 晏国辉 唐娜 《Journal of Donghua University(English Edition)》 EI CAS 2014年第6期824-826,838,共4页
Maintenance material reserves must keep an appropriate scale,in order to meet the possible demand of support objectives.According to the sequence of maintenance material consumption,this paper establishes a Gray-Marko... Maintenance material reserves must keep an appropriate scale,in order to meet the possible demand of support objectives.According to the sequence of maintenance material consumption,this paper establishes a Gray-Markov forecasting model by combining Gray system theory and Markov model. Few data are needed in the proposed Gray-Markov forecasting model which has high prediction precision by involving small parameters. The performance of Gray-Markov forecasting model was demonstrated using practical application and the model was proved to be a valid and accurate forecasting method. This Gray-Markov forecasting model can provide reference for making material demand plan and determining maintenance material reserves. 展开更多
关键词 maintenance material gray-markov demand forecasting material reserves
在线阅读 下载PDF
基于Gray-Markov的电力设备物流量多目标组合估计
2
作者 陈耀标 《电子设计工程》 2024年第19期86-89,93,共5页
电力设备物流量较多且所涉及到的环节较为复杂,导致物流量多目标组合估计误差增加,所以设计基于Gray-Markov的电力设备物流量多目标组合估计方法。利用数据录入模块、数据分析处理模块搭建数据采集平台,实现电力设备物流量数据采集。改... 电力设备物流量较多且所涉及到的环节较为复杂,导致物流量多目标组合估计误差增加,所以设计基于Gray-Markov的电力设备物流量多目标组合估计方法。利用数据录入模块、数据分析处理模块搭建数据采集平台,实现电力设备物流量数据采集。改进卷积神经网络,构建深度空洞卷积去噪模型,对采集到的数据实施去噪处理。结合BP神经网络与Gray-Markov实现电力设备物流量多目标组合估计。测试结果表明,该方法的绝对误差平均值最低仅为1 025.21,平均相对误差百分比一直低于1.8%,估计误差比较小,精度较高。 展开更多
关键词 gray-markov 电力设备 多目标 组合估计 BP神经网络
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部