测量参数 meaning in English
measurement parameters
Examples
- In recent years , measurement technique of optical fiber is one of the hot questions in the measurement field which this researching task belongs to due to the limitation of measurement environment , the accuracy of measuring parameters has become a problem urgent to solve in the production nowadays
光纤传感技术是近年来测量领域的热点之一，本文研究的课题属于光纤测量领域。由于测量环境的限制，测量参数的准确性成为当今生产急需解决的问题。 - According to numerous experiments of eih for air , the transient magnetic field has exerted certain influence on the thermocouple measurement . it is concluded in this thesis that the influence can be reduced or neglected with appropriate measuring parameters , which are fundamenta
本文进行了电磁感应空气加热试验，研究了交变磁场对热电偶测温的影响规律，得出只要采用适当的测量参数，就可以将其影响减少甚至忽略的结论，为以后试验中的温度测量打下基础。 - Finally , analyzes and compares various algorithms of data processing , and the algorithm is emulated , study the effect which algorithm is to the measure parameters then expound algorithm which function added to window , use it to reduce the effect which algorithm is to the measure parameters
并对系统的硬件调试进行了总结；最后，分析比较了几种数据处理算法，并对算法进行了仿真，分析了算法对测量参数的影响，提出了用加窗的方法来消除算法对测量参数的影响。 - Based on the processed images , we can do the further computerized quantitative measure of parameters including area , perimeter , integrated optical density , average diameter , shape factor , number of bifurcation and end points , etc . our self - developed and localized system has a reliable property and a high ratio of performance and cost proved by our experiment
对感兴趣区域内的目标自动测量参数，如：面积、周长、综合光密度、平均直径、形状因子、三叉点、端点等。与其它类似系统相比，本系统具有性能稳定，开发成本低，技术性能价格比高的优点，成为国内医务人员易于掌握与使用的医学应用系统。 - Based on neural network theory , it takes pressure of upper cavity as secondary variable and punching power as primary variable to build model of soft sensing . thus punching power can be predicted using system pressure because of their functional relation . this type of measurement technology provides a new method to parameters measurement which is n ' t easy to got directly
以液压缸上腔压力为辅助变量，桩锤下打力为主导变量，利用函数型神经网络理论建立了两者之间的软测量模型，找到了液压系统油液压力和桩锤下打力之间的函数关系，从而为获取不易直接测量参数提供一种新方法。