同时就某传感器的动态标定数据进行了建模和补偿，取得了良好的补偿效果。
At the same time, certain sensor is modeled and compensated according to its calibrating data.
该方法利用加速度传感器的动态标定数据，采用遗传神经网络搜索和优化动态模型参数。
In this method, the dynamic model parameters of accelerometer are optimized by genetic neural network according to measurement data of the dynamic calibration.
通过对各个传感器标定，并采用最小二乘法线性拟合标定数据，进一步提高系统的测量精度。
The measurement accuracy of the system is further improved through the calibration of sensors and least square fit of the calibration dat...
结果表明：RKS方程是较适宜应用于吸收稳定系统的热力学模型，其模拟计算结果与工业标定数据吻合较好；
Results showed that RKS equation is a suitable thermodynamic model for absorption-stabilization system, its simulation results are in good agreement with the data from commercial performance test.
针对标定甲台，引入标定变量描述文件，设计了友善的用户界面，并用地址绑定的方法实现了标定数据的准确传递。
For the calibration platform, the paper introduces the description file of calibration variables, designs friendly interfaces and facilitates data exchanging by means of address binding.
介绍了CT64 B硫回收催化剂在硫磺回收装置的应用情况，并结合生产标定数据对其性能及使用效果进行技术分析。
The paper introduces the application conditions of CT64B catalyst in the sulfur recovery device and analyses its performance and operating effect on the basis of the productive rating data.
目前的传感器误差校正方法，由于都是以传感器初始标定数据作为依据，从而随着使用时间的增加，传感器参数发生变化，其校正误差会逐步增大。
At present, the correcting method of sensor error depends on sensor prime data so that when working time increases and sensor parameter is changed, the correcting error will increase.
针对某一确定数据采集系统中小波去噪时的阈值选择，提出以小波神经网络加标准信号来标定去噪阈值的方法，从而提高对信号的去噪性能。
This article proposed a method to mark denoising threshold from study function of wavelet nerve network in order to improve performance of denoising to signals.
针对某一确定数据采集系统中小波去噪时的阈值选择，提出以小波神经网络加标准信号来标定去噪阈值的方法，从而提高对信号的去噪性能。
This article proposed a method to mark denoising threshold from study function of wavelet nerve network in order to improve performance of denoising to signals.
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