| 基于PCA-GABP神经网络的BOD软测量方法 |
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| 引用本文： | 冉维丽,乔俊飞.基于PCA-GABP神经网络的BOD软测量方法[J].控制工程,2004,11(3):212-215. |
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| 作者姓名： | 冉维丽 乔俊飞 |
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| 作者单位： | 北京工业大学,电子信息与控制工程学院,北京,100022 |
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| 基金项目： | 国家自然科学基金资助项目(50274003和60304012)，北京市科技新星计划资助项目(H020821210120) |
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| 摘 要： | 针对污水处理过程中关键水质参数无法在线监测的问题．提出基于PCA-GABP神经网络的污水水质软测量方法。该方法由两部分组成：主元分析PCA和GABP神经网络。其中，GABP算法采用局部改进遗传算法优化神经网络权值。并采用自适应学习速率动量梯度下降算法对神经网络进行训练，建立软测量模型。仿真结果表明该软测量模型稳定性好、精度高，可用于污水处理厂对BOD进行在线预测。
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| 关 键 词： | PCA-GABP 神经网络 BOD 软测量 主元分析 PCA 遗传算法 GA 污水处理 水质在线监测 |
| 文章编号： | 1671-7848(2004)03-0212-04 |
| 修稿时间： | 2003年9月23日 |
Soft-measuring Technique to Predict BOD Based on PCA-GABP Neural Networks |
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| RAN Wei-li,QIAO Jun-fei.Soft-measuring Technique to Predict BOD Based on PCA-GABP Neural Networks[J].Control Engineering of China,2004,11(3):212-215. |
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| Authors: | RAN Wei-li QIAO Jun-fei |
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| Abstract: | To the problem that on-line information of some essential wastewater parameters is inaccessible in monitoring and controlling wastewater treatment processes. A soft-measuring technique applied to wastewater quality measurement is put forward based on PCA genetic neural network. It is composed of two elements: principle components analysis (PCA), and genetic neural network. This model can be applied to on-line predict wastewater BOD. Neural network is trained by improved BP algorithm, moreover, applying genetic algorithm to optimize the weights. The simulation results show that the soft-measuring model has good stability and high precision and can be applied to on-line predict wastewater BOD. |
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| Keywords: | soft-measuring neural network PCA Genetic Algorithm (GA) wastewater treatment |
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