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 article introduces the application of network communication in the calibration test of the 215-element antenna array.
阐述了网络通讯技术在215单元天线阵列校准测试中的应用情况。
In this method, the dynamic model parameters of accelerometer are optimized by genetic neural network according to measurement data of the dynamic calibration.
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 the research, based on BP neural network theory, a printer calibration model is provided according to sorting experiment data by hue Angle range.
在研究中，利用BP神经网络理论，提出并建立了按色相角范围对实验数据分类的打印机标定模型。
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。
The smart nodes and supervisor software are analyzed, furthermore, the calibration method of signal detection channel properties and network communication are discussed.
文中讨论了智能节点和上位机的设计，并论述了通道的标定方法和系统的网络通信。
The TRL calibration was completed using 10 error correction models in the vector network analyzer. The accurate measurement of double ridge waveguide device was realized.
最后利用网络分析仪的10项误差修正原理完成了脊波导的TRL校准，实现了脊波导器件微波参数的准确测试。
This article gives a new calibration algorithm for R-2R T-resistance network.
文中给出一个R - 2r电阻网络的新的校正算法。
An innovative robot calibration approach: inverse robot calibration based on neural network, is proposed in this paper, based on the analysis of traditional calibration approach.
在分析传统机器人位姿标定方法的基础上，提出了一种新的机器人标定方法：基于神经网络的逆标定方法。
When measuring the RF&MW devices, applying error correction to the vector network analyzer, and executing the full two-port calibration, the systematic errors can be removed completely.
用矢量网络分析仪进行射频和微波元器件的测量时，配合网络分析仪的误差修正技术，进行全二端口校准，能彻底地消除系统误差。
A new method ameliorating the calibration accuracy for flowmeter that is based on BP network - (genetic) algorithms (GA) is proposed.
提出一种基于神经网络(BP)-遗传算法(GA)的高精度流量仪表标定方法。
Calibration method based on neural network is presented in this paper. The results show a remarkable improvement of the measurement accuracy.
本文提出了一种基于神经网络的标定方法，显著地提高了测量系统的精度。
By means of GPS dummy network reference station positioning system, the ground control points for the calibration of remote sensing image were surveyed with the precision of centimeter level.
利用GPS虚拟网络参考站定位系统，以厘米级精度测定校正遥感图像的地面控制点。
The paper mainly discusses measurement method and calibration of digitalization system based on neural network. The results of practical measurement with this system were also presented.
着重讨论了利用神经网络的三维物体扫描测量系统的标定及测量方法，并给出了利用这一系统进行实际测量的效果。
Calibration of network analyzer is conducted by hands in most domestic enterprises.
目前，我国多数企业对网络分析仪的校准工作仍以手工操作为主。
Aiming at big discrepancy between SPM scan image display size and it's actual size, an automatic calibration method based on digital image processing and artificial neural network was proposed.
针对扫描探针显微镜中扫描图像显示的大小与实际大小存在较大误差，提出了基于图像处理和人工神经网络标定的方法。
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。
Generally the calibration of Vector Network Analyzers has been accomplished with mechanical standards.
通常情况下矢量网络分析仪的校准都是使用机械校准件来完成的。
The sensor is laser trimmed for precise span, offset calibration and temperature compensation. Also includes a strain gauge and thin film resistor network integrated on each chip.
该传感器经过激光微调，以实现高精度量程、偏移校准和温度补偿，并在每个芯片上集成了应变片和薄膜电阻网络。
The method of building network time server and the process of designing time calibration software in network are discussed.
论述了网络时间服务器的构建方法和网络授时软件的设计流程。
Compared with traditional calibration methods, experimental results show that the proposed binocular calibration method based on neural network could obtain high accuracy.
将神经网络标定方法与传统的常用标定方法比较，实验结果表明，基于神经网络的双目视觉标定方法能获得较高的标定精度。
In order to solve the problems of feature extraction and calibration modeling in the area of quantitatively infrared spectral analysis, a structural adaptive neural network is proposed.
为了解决红外光谱定量分析中的特征提取和校正规模问题，提出了一种输入层自构造神经网络。
An eight-port microwave network based on the design of six-port microwave network is introduced in this paper. In addition, a practical, simple and convenient self-calibration method is presented.
介绍一种在原有六端口技术基础上进行改造后的八端口微波网络，并给出一种实用简便的自校准方法。
BP artificial neural network was used to establish the calibration model of subjects' total cholesterol, glucose and hemoglobin values against dynamic spectrum data.
利用BP神经网络对此样本的总胆固醇、血糖、血红蛋白进行了建模和预测。
BP artificial neural network was used to establish the calibration model of subjects' total cholesterol, glucose and hemoglobin values against dynamic spectrum data.
利用BP神经网络对此样本的总胆固醇、血糖、血红蛋白进行了建模和预测。
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