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1)  Multivariate calibration model
多元校正模型
2)  multivariate calibration
多元校正
1.
Simultaneous spectrophotometric determination of phenol,aniline and hydroquinone by multivariate calibration method;
多元校正一紫外吸收光度法同时测定苯酚、苯胺、对苯二酚
2.
Application of multivariate calibration to simultaneous fluorescence determination of α-naphthylaceticacid and indole-3-aceticacid;
多元校正荧光法同时测定α-萘乙酸和吲哚-3-乙酸
3.
Simultaneous determination of copper,lead and zinc in alloy by complexometric titration coupled with multivariate calibration;
多元校正电位络合滴定法同时测定合金中铜铅锌
3)  multiple rectify mode
多重校正模型
1.
The error rectify system that contains a multiple rectify mode has been built based on deep comprehension and a good grasp of the RMPCT advanced control technology and proceed from the process mechanism, the unite characteristics and different reasons that error is engendered from the soft measurement meters.
在深入理解和掌握RMPCT先进控制技术的基础上,从工艺原理和装置的生产特点入手,根据软测量仪表误差产生原因的不同,建立了一个含有多重校正模型的误差校正系统。
4)  multivariable calibration model
多变量校正模型
5)  multivariate normal distribution model
多元正态模型
1.
This paper studies maximum likelihood estimation of multivariate normal distribution models with incomplete data under linear inequality restrictions on the parameters.
研究含有不完全数据的多元正态模型参数在一般线性不等式约束下的极大似然估计问题;利用约束EM算法求得多元正态模型参数的迭代解,并证明了此解是一般线性不等式约束下的最优解。
6)  correction model
校正模型
1.
The useful near-infrared spectrum information was picked up by using genetic algorithms,and the near-infrared quantitative correction model was established by partial least squares(PLS) method.
以两组棉制品为研究对象,利用遗传算法提取有效近红外光谱信息,采用偏最小二乘法(partial least squares,简称PLS)建立了棉制品中含棉量的近红外定量的校正模型,讨论了遗传算法提取有用信息的具体应用方法。
2.
This paper relates to a correction model based on the computation according to position and height of each building as well as imaging parameters of sensors,which has been applied to an area in Shanghai for rectifying the green cover rate and green belt areas in a remote sensing research.
在分析城市绿化遥感中常用遥感数据成像特点的基础上,推导出投影误差造成的遮蔽面积公式,建立遥感遮蔽校正模型。
3.
In view of characteristics of pressure sensor affected by temperature changes and voltage fluctuation,a correction model of pressure sensor is presented based on Support Vector Machine.
针对压力传感器输出特性受温度变化和电压波动影响的问题,提出了应用支持向量机对压力传感器输出特性进行非线性补偿的校正模型。
补充资料:校正模型
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性质:为校正所建立的数学模型,如分析测试中常用的回归模型,通过最小二乘法估计模型中的待估参数,建立响应值与影响响应值的各因素之间的函数关系,再根据模型对响应值进行预测,对影响响应值的各因素进行控制。

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