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研究发现,随着酸碱浓度及温度变化范围的增大,其电导率与PH值和温度之间呈严重非线性函数关系。本文应用 PBP 神经网络和 GA-BP 学习算法。对不同浓度区的非线性测量方程进行神经统计建模,实现了大范围的非接触式 PH 值在线检测仪的研制。
The results show that with the increase of acid-base concentration and temperature range, the conductivity is a serious non-linear function between pH and temperature. In this paper, PBP neural network and GA-BP learning algorithm. The nonlinear statistical equations of different concentration regions were modeled by neural statistics, and a large-scale non-contact pH online detector was developed.