工业用神经PH值检测仪的研究  

A Study on Neural PH Value Measurement' Instrument for Industrial Processes

作　　者：王殿辉[1] 王国峰[1] 周亦武[1] 

机构地区：[1]大连海事大学智能控制研究所,大连116026

出　　处：《测试技术学报》1998年第3期350-355,共6页Journal of Test and Measurement Technology

摘　　要：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。Based on experimental studies the electricity transfer rate nonlinearly depends on both the PH value and the temperature of the measured liquid, and the nonlinearity characteristics increases as the scopes of the variable increase. In the work we model effectively the Nonlinear Measure Equations (NMEs) by using PBP neural network and a so called GA-BP training algorithm with off-line learning the measured teacher signals (samples) in three various operating scales. This implements the development of touch-free PH value measurement instrument for a large scope of measuring and without temperature compensation.

关 键 词：PBP神经网络 GA-BP学习算法 PH值检测仪 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP216[自动化与计算机技术—控制科学与工程]