MOLDA (Multi dimensional on Line Data analysis) is an OLAP system model, designed and developed by the author for the development of several business analysis projects.
多维联机数据分析模型(MOLDA)是笔者根据多个项目的需要而研究和设计的一个联机分析处理(OLAP)系统模型。
According to different usefulness of data acquisition technique, data acquisition technique is classified into on-line data acquisition device and portable data acquisition device.
根据数据采集的用途不同，数据采集装置大体分为在线式数据采集装置和便携式数据装置。
It is shown that the prediction precision of BP neural networks can be improved greatly according to many on-line data and the optimization model can be adapted to v...
通过大量在线数据分析，可知这种方法对中厚板板凸度的预报精度有很大改善，能适应不断变化的工艺过程和设备条件。
The analysis and comparison of on-line data and off-line data have indicated that on-line monitoring system inflect information sensitively and operate reliably.
通过对已获得的在线、离线数据进行了分析、比较，认为在线监测装置与离线监测相比，具有反映灵敏、检测精度高等特点，其运行是可靠的。
This DIGIP system is composed of an on-line data-collecting subsystem and a microcomputer-based graphic editing subsystem.
该系统包括以联机立体坐标量测仪为主体的数据采集子系统和以微型计算机为核心的制图编辑子系统。
Based on on-line data and the modeling theory of neural network, the dynamic models of drum steam pressure and main steam pressure are established.
基于现场数据与神经网络的建模理论，建立了火电机组汽包压力与主汽压力的动态模型，并对所建立的汽压增量模型进行了仿真研究。
Based on on-line data and the modeling theory of neural network, the dynamic models of drum steam pressure and main steam pressure are established.
基于现场数据与神经网络的建模理论，建立了火电机组汽包压力与主汽压力的动态模型，并对所建立的汽压增量模型进行了仿真研究。
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