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非线性动态液位软测量模型建立
引用本文:王景芳. 非线性动态液位软测量模型建立[J]. 化工自动化及仪表, 2006, 33(1): 32-34
作者姓名:王景芳
作者单位:湖南涉外经济学院,信息与电子工程系,长沙,410205
摘    要:设计一种具有高度非线性逼近能力的人工神经网络模型结构,以遗传算法进行该模型参数的组合优化建模,解决连续搅拌反应釜动态液位测量问题.

关 键 词:遗传算法  神经网络  非线性  动态液位  软测量
文章编号:1000-3932(2006)01-0032-03
收稿时间:2005-12-29
修稿时间:2005-12-29

Soft Measurement Modeling of Non-linear Dynamic Liquid Levels
WANG Jing-fang. Soft Measurement Modeling of Non-linear Dynamic Liquid Levels[J]. Control and Instruments In Chemical Industry, 2006, 33(1): 32-34
Authors:WANG Jing-fang
Affiliation:Department of Information and Electron Engineering, Hunan College of International Economics, Changsha 410205, China
Abstract:An artificial neural network structure which has powerful nonlinear approach capability is introduced.The optimization modeling of the model parameters is made by use of genetic algorithms.The dynamic liquid levels measurement in continuous-stirring reactors is solved.
Keywords:genetic algorithms  neural network  nonlinearity  dynamic liquid level  soft measurement.
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