改进的人工神经网络在传感器阵列信号处理中的应用

Application of an Improved Neural Network on Processing Signals from Ion-Selective Electrode Array

本文提出传感器阵列信号处理的人工神经网络模型，以Ｃｕ＋２／Ｃａ＋２系统为研究对象，尝试了神经网络方法的效果。其最大相对误差不超过５．５％，最大相对预测误差不超过２．４％，结果表明，该方法性能良好，在各种传感器阵列的信号处理方面有广泛的应用前景。

The artificial neural network model for processing signals form ion-selective electrodes array is presented in the paper. the performance of the neural network approach was tested in the simultaneous determination of Cu2+/Ca2+ system. Its maxmium relative fitting error doesn't exceed 5.5% and maxmium predicting relative error doesn't exceed 2.4%. The results showed that the improved network is good therefore it might be used widely in processing signals from variuns ion selective electrode arrays.