为使较低精度传感器获得较高精度,以提高传感器的性能价格比。本文提出人工神经网络提高传感器精度的新方法。该神经网络可以看成是一个可以滤去传感器信号噪声的非线性滤波器。实际使用证明,该方法不仅提高了传感器的精度,而且,由于可以对神经网络进行在线修正,所以极大地提高了传感器的环境适应性。关键词: 传感器; 精度; 神经网络; 稳定性Abstract : The transducer which acquires higher degree of accuracy can be enhanced its cost performance. A new neural networks2based transducer accuracy enhancement scheme is proposed. The neural networks can be consid2 ered as nonlinear filter which reduces the noise of low accuracy transducer. The practice uses show that our method can provide transducer greater accuracy and environment suitability.Key words : Transducer ; Precision ; Neural networks