A novel method of calibration and measurement of swept frequency dual six-port network analyzer is given by authors in this paper.
本文介绍了作者研究的一种新颖的扫频双六端口网络分析仪校准与测量技术。
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。
This paper proposed a method to establish the reliable standard channel for the calibration system and used the uncertainty theory to evaluate the uncertainty of the measurement results.
提出了建立校验系统可信赖标准通道的方法，并利用不确定度理论对校验系统的测量结果进行评定。
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