应用人工神经网络标定气动量仪

Calibrating Pneumatic Measuring Instrument Using Artificial Neural Network

介绍人工神经网络的基本原理和径向基函数的模型及其特点 ,并应用到仪器的标定过程中 ,提出了一种既可扩大仪器量程、又可提高仪器准确度的新途径。

The basic principle of artificial neural network, model and characteristics of radial basis function are described in this paper. They are applied to the calibration of measuring instrument. Then, a new way that can not only spread measurement range, but also improve measuring accuracy is presented. The experiment results show that the idea is effective.