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1)  Synthetic Correction Model
综合校正模型
2)  synthetic statics modeling
综合静校正建模
3)  comprehensive calibration
综合校正
1.
Application of an auto-compensation technique in the comprehensive calibration of INS;
自动补偿技术在平台式惯导系统综合校正中的应用研究
4)  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。
5)  Calibration model
校正模型
1.
The spectrum data sample characteristic choice,the data pretreatment,and the SVM Calibration model parameter optimization and mixture gas spectral analysis structure based on level were summarized and prop.
提出了光谱数据样本特征选择、数据预处理、SVM校正模型参量优化及层次式混合气体光谱分析结构等关键技术。
2.
The influence of calibration constant K,spectrum region selection and spectrum prepro- cessing on the veracity of a calibration model when establishing a model for rapidly determining aroma composition in naphtha by near-infrared spectroscopy are analyzed.
在采用近红外光谱建立石脑油芳烃含量校正模型的过程中,分析讨论了校正系数K值、光谱区域选取及光谱预处理方法对校正模型准确性的影响。
3.
By using type ZX440 near infrared petroleum analyzer,the calibration model of total sulfur content of jet fuels was established.
采用ZX440型近红外多组分油料分析仪建立了喷气燃料总硫含量的校正模型,对校正模型的准确性进行了验证,实际分析结果表明,近红外光谱分析可以实现对喷气燃料总硫含量的快速、准确测定。
6)  model calibration
模型校正
补充资料:误差校正模型


误差校正模型


[误差校正模型】基于协整方程进行短期预测的模型。认为在时间序列的短期变化中天然寓有长期变动的作用,因而它的作法就是在短期方程中加人长期方程的影响因子。这个影响因子就是长均衡方程误差项的滞后项,一般滞后一期。 如果有随机向量Zt{21:,几,zat,一,氏,且有Zt一I(l),而且有:入}Z,.,几,Z3吐,…,人一el(d,b)那么对于长期方程: z,!二谷铸z。+v,则有误差校正模型:△z,!=蕊,。△。!+从一,因为有△茂二Xt一Xt_,,误差校正模型可以还原到长期模型型式。
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参考词条