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    索幸仪, 侍洪波. 基于多模型模糊核聚类方法的污水处理过程软测量建模[J]. 华东理工大学学报(自然科学版), 2010, (5): 732-736.
    引用本文: 索幸仪, 侍洪波. 基于多模型模糊核聚类方法的污水处理过程软测量建模[J]. 华东理工大学学报(自然科学版), 2010, (5): 732-736.
    SUO Xing-yi, SHI Hong-bo. Soft Sensor Modeling of Sewage Disposal Process Based on  Multi-model Fuzzy Kernel Clustering Method[J]. Journal of East China University of Science and Technology, 2010, (5): 732-736.
    Citation: SUO Xing-yi, SHI Hong-bo. Soft Sensor Modeling of Sewage Disposal Process Based on  Multi-model Fuzzy Kernel Clustering Method[J]. Journal of East China University of Science and Technology, 2010, (5): 732-736.

    基于多模型模糊核聚类方法的污水处理过程软测量建模

    Soft Sensor Modeling of Sewage Disposal Process Based on  Multi-model Fuzzy Kernel Clustering Method

    • 摘要: 针对污水处理过程高度非线性及强耦合性的特点,基于多个模型的组合可以提高模型精度和鲁棒性的思想,提出了一种基于 模糊核聚类的多最小二乘支持向量机的软测量建模方法。该方法根据不同工况使用模糊核聚类算法对输入数据进行聚类划分,针对 每个聚类子集用最小二乘支持向量机方法建立子模型,最终通过子模型切换策略得到系统输出。在污水处理过程仿真平台展开验证 工作,对生化需氧量BOD的软测量进行建模,获得了良好的实验结果。

       

      Abstract: The combination of multi-models can improve the accuracy and robustness of model. Based on the above ideas, this paper proposes a multi-model fuzzy kernel clustering method. By using fuzzy kernel clustering, the input data are firstly clustered according to different work conditions. Then, the submodel is built for every subset by using least square support vector machine method. Finally, the system output is obtained through the sub -model switch strategy. The simulation on the platform of sewage disposal is made for the soft sensor model of biochemical oxygen demand (BOD) and some better results are obtained.

       

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