摘要
介绍了用神经网络校正传感器系统非线性误差的原理和方法 ,提出了基于BP神经网络传感器非线性误差校正及其模型、算法与实现技术。通过计算机仿真与应用 ,显示出这种逆模型不但可实现温度补偿和非线性校正 ,而且网络结构简单 。
The principle and the methods for correcting the nonlinear errors of the sensor system with a neural network are introduced.Nonlinear errors correction of sensors based on BP neural network,which includes its model,algorithm and realized techniques are presented.The results of computer simulations illustrate that not only the inverse modeling based on BP neural network can compensate the effect of the nonlinearity and temperature,but also the construction of the neural network is simple and the precision is good.
出处
《传感器技术》
CSCD
北大核心
2002年第1期42-43,47,共3页
Journal of Transducer Technology
关键词
BP神经网络
传感器
非线性误差校正
BP(backpropagation) neural network
sensors
nonlinear errors
correction
