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

中文关键词:  传感器阵列  信号处理  人工神经网络  B-P模型

英文关键词:Ion-selective electrode array  signal processing  artificial neural network  back-propagation model

中文摘要:

      本文提出传感器阵列信号处理的人工神经网络模型,以Cu²⁺/Ca²⁺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。

英文摘要:

      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.