Two kinds of nonlinear calibration method for thermal power instruments have been presented.
介绍了热工仪表非线性校正的两种方法。
Next, the camera calibration methods are studied, including linear calibration and nonlinear calibration.
摄像机参数的标定，包括线性标定方法和非线性标定方法；
The scheme can meet the requirement of compound eye for nonlinear calibration and has operational flexibility.
提出的方案基本能满足复眼成像非线性标定的要求，具有一定的操作灵活性。
A photocolorimeter was modified with a singe chip computer to add automatic data processing and nonlinear calibration abilities to the instrument.
用单片微机对光电比色计进行了改造，增加了数据自动处理，非线性校正等多种功能。
This nonlinear calibration method is used to calibrate the caliper tool, which obviously improves the measuring accuracy of the caliper tool made in China.
用此非线性方法对仪器刻度，使得国产连斜-井径并测仪的井径线性不好的问题得到了明显改善。
A non-coplanar nonlinear calibration model and a reconstruction approach taken uncertainty into consideration are applied to restore 3d human skeleton model.
采用不共面的非线性定标模型和考虑运动不确定性的三维重建方法，能恢复逼真的三维人体骨架模型。
A nonlinear calibration method based on vanishing-point theorem is applied to calibrate the system and the image features of a free-form surface are enhanced by projecting arrays of dots.
基于灭点理论法进行了系统的非线性标定，采用投射光斑法增加自由曲面的图像特征；
This paper presents one new method of nonlinear calibration for temperature measurement sensors of power plant, which is based on CMAC neural network and data collecting and monitoring system.
本文充分利用CMAC神经网络的非线性函数逼近功能，并结合电站数据采集和监测系统，提出一种校正电站测温传感器非线性输出特性的新方法。
The application of nonlinear error in measure model in the calibration of camera is further improved on the base of other researcher.
在前人工作的基础上，进一步完善了非线性度量误差模型在摄像机定标的应用。
The true value diagrams are used to do the camera calibration. This method takes nonlinear distortion of the lens.
采用真值表法进行相机标定，将镜头畸变非线性微分化，有效克服了镜头畸变造成的影响。
Owing to good nonlinear multivariate calibration nature of ANN, the predicted results was reliable.
由于人工神经网络好的非线性的多变量校正特点，预测结果是准确的。
Anew method to pulp consistency sensor nonlinear estimation and dynamic calibration based on artificial neural networks is proposed.
本文提出了一种基于人工神经网络的纸浆浓度传感器非线性估计和动态标定新方法。
The prediction and identification performance of these nonlinear structures were examined by an example, which models a sensor according to the results of calibration.
最后列举实例，根据标定的数据用该方法对某传感器进行建模，结果验证了该建模方法对此类非线性结构的预测和辨识性能。
The proposed model-calibration estimators can handle any linear or nonlinear working models and reduce to the generalized regression estimators in the linear model case.
建议的模型校正估计可以处理任何线性或非线性的工作模型，且在线性模型的情形下变为广义回归估计。
With the nonlinear least squares fit between measured spectra and calibration spectra, standard gas concentrations of co at different temperatures are obtained.
将合成校准光谱和实验测得的光谱进行非线性最小二乘拟合，得到了不同温度下标准气体CO浓度。
The experiment results indicate that the improved BP network model can avoid nonlinear modeling and enhance the calibration precision and the flexibility, which has real significance.
结果表明：采用改进的BP神经网络能够避免对摄像机进行非线性建模，有利于提高标定精度，增加系统的灵活性，更具有实际意义。
This paper presents a calibration method for nonlinear A/D.
本文提出了一种A/D非线性的修正方法。
Because of nonlinear effect and small calibration sample set in fact, it is important to solve the problem of model transfer under the condition of nonlinear effect in evidence and small sample set.
由于实际测量数据具有非线性特征，加上校正样本集合的有限性，使得解决小样本条件下非线性关系的模型传递问题显得尤为重要。
Because of nonlinear effect and small calibration sample set in fact, it is important to solve the problem of model transfer under the condition of nonlinear effect in evidence and small sample set.
由于实际测量数据具有非线性特征，加上校正样本集合的有限性，使得解决小样本条件下非线性关系的模型传递问题显得尤为重要。
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