bp neural network calibration bp神经网络标定
handover road network calibration 切换路网标定
BP Network Calibration BP网络标定
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。
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