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基于神经网络的传感器非线性误差校正
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2009-06-29
胡秋阳
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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,准确度高。
关键词:BP 神经网络; 传感器; 非线性误差; 校正
Abstract : 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 on2 ly the inverse modeling based on BP neural network can compensate the effect of the nonlinearity and tempera2 ture ,but also the construction of the neural network is simple and the precision is good.
Key words :BP(backpropagation) neural network ; sensors ; nonlinear errors ; correction
关键词:BP 神经网络; 传感器; 非线性误差; 校正
Abstract : 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 on2 ly the inverse modeling based on BP neural network can compensate the effect of the nonlinearity and tempera2 ture ,but also the construction of the neural network is simple and the precision is good.
Key words :BP(backpropagation) neural network ; sensors ; nonlinear errors ; correction
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