| 基于HGA优化RBF网络的污水总氮软测量 |
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| 引用本文： | 梁倩,吕勇哉.基于HGA优化RBF网络的污水总氮软测量[J].计算机仿真,2008,25(7). |
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| 作者姓名： | 梁倩 吕勇哉 |
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| 作者单位： | 上海交通大学自动化系,上海,200240 |
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| 摘 要： | 污水处理系统是一个包含海量信息的非线性复杂系统.目的是对某污水处理厂生物脱氮系统的出水总氮(TN)进行软测量建模.先用主元分析方法实现输入变量的降维和去相关,简化径向基函数(RBF)网络的输入.再应用递阶遗传算法(HGA)确定合理的RBF网络隐层节点数、基函数宽度和中心.能够同时优化网络参数和拓扑结构,在全局范围内寻找RBF参数的最优解,实现了RBF网络的自适应优化.应用该模型对出水总氮软测量进行仿真,结果表明了该网络模型的可靠和有效,说明该软测量模型具有工业应用价值和意义.
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| 关 键 词： | 主元分析 径向基函数网络 递阶遗传算法 污水处理 |
Soft Sensor for Total Nitrogen in Waster Water Based on RBF-NN Optimized by Hierarchical GA |
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| LIANG Qian,LU Yong-zai.Soft Sensor for Total Nitrogen in Waster Water Based on RBF-NN Optimized by Hierarchical GA[J].Computer Simulation,2008,25(7). |
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| Authors: | LIANG Qian LU Yong-zai |
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| Affiliation: | LIANG Qian,LU Yong-zai(Department of Automation,Shanghai Jiaotong University,Shanghai 200240,China) |
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| Abstract: | Waster water treatment system is a complex non-linear system containing a huge amount of information.The purpose is to build a predictive model for the development of soft sensor in Total Nitrogen(TN) estimation in the outlet of a biological Nitrogen removal system of a waster water treatment plant.PCA is used to perform both dimension-reduction and de-correlations in input space to simplify the inputs of RBF Neural Network.The hierarchical GA is further used to optimize the number of hidden layer nodes,wid... |
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| Keywords: | PCA RBF-NN Hierarchical GA Waster water treatment |
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