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 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.
一方面，采集的底层数据是后续电池管理系统中估计和校正的重要参数；
On the one hand, the collected bottom data is one of the essential parameters of estimating and proofreading in latter battery management system;
一方面，采集的底层数据是后续电池管理系统中估计和校正的重要参数；
On the one hand, the collected bottom data is one of the essential parameters of estimating and proofreading in latter battery management system;
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