| 聚类方法在污水处理软测量中的应用机理研究 |
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| 引用本文： | 冯裕钊,卓明,田利强,庞子山.聚类方法在污水处理软测量中的应用机理研究[J].后勤工程学院学报,2007,23(1):60-65. |
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| 作者姓名： | 冯裕钊 卓明 田利强 庞子山 |
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| 作者单位： | 1. 后勤工程学院,营房管理与环境工程系,重庆,400016
2. 重庆市水务局,重庆,400020 |
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| 摘 要： | 通过对污水处理过程建立多神经网络模型的可行性研究以及对活性污泥微生物的生长繁殖规律分析,得出在污水处理工程中采用基于聚类方法的多神经网络建模的理论依据,试验表明多神经网络的扩散常数同类半径相当接近,预测精度较高,证实了聚类分析的正确性.分析了可能影响模型精度的原因,指出采用在线实时算法是未来的研究方向.
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| 关 键 词： | 污水处理 聚类 神经网络 微生物 软测量 聚类方法 污水处理 软测量 应用 机理研究 Treatment Process Wastewater Mechanism Analysis Based Soft Sensor Research 方向 实时算法 在线 预测精度 影响模型 聚类分析 半径 常数 扩散 |
| 文章编号： | 1672-7843(2007)01-0060-06 |
| 修稿时间： | 2006年9月25日 |
The Application and Research of the Soft Sensor Based on the Mechanism Analysis in Wastewater Treatment Process |
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| FENG Yuzhao,ZHUO Ming,TIAN Liqiang,PANG Zishan.The Application and Research of the Soft Sensor Based on the Mechanism Analysis in Wastewater Treatment Process[J].Journal of Logistical Engineering University,2007,23(1):60-65. |
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| Authors: | FENG Yuzhao ZHUO Ming TIAN Liqiang PANG Zishan |
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| Abstract: | According to the research of feasibility on multi-neural networks model based on clustering in waste water processes and the analysis of the developing and propagating of the activated sludge microorganism,the theoretical foundation of using multi-neural networks model based on clustering in waste water processes is elicited,the output of the experiment indi- cates that the spread constant is near the radius of the specie,and the precision is high enough to use,thus,approving its cor- rectness.The paper has analyzed all the reasons that would possibly affect the precision and points out that the on-line real- time arithmetic is the direction in the future research. |
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| Keywords: | wastewater treatment clustering neural network microorganism Soft-sensing |
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