摘要
In this study, a multivariate local quadratic polynomial regression(MLQPR) method is proposed to design a model for the sludge volume index(SVI). In MLQPR, a quadratic polynomial regression function is established to describe the relationship between SVI and the relative variables, and the important terms of the quadratic polynomial regression function are determined by the significant test of the corresponding coefficients. Moreover, a local estimation method is introduced to adjust the weights of the quadratic polynomial regression function to improve the model accuracy. Finally, the proposed method is applied to predict the SVI values in a real wastewater treatment process(WWTP). The experimental results demonstrate that the proposed MLQPR method has faster testing speed and more accurate results than some existing methods.
In this study, a multivariate local quadratic polynomial regression （MLQPR） method is proposed to design a model for the sludge volume index （SVI）. In MLQPR, a quadratic polynomial regression function is established to describe the relationship between SVI and the relative variables, and the important terms of the quadratic polynomial regression function are determined by the significant test of the corresponding coefficients. More- over, a local estimation method is introduced to adjust the weights of the quadratic polynomial regression func- tion to improve the model accuracy. Finally, the proposed method is applied to predict the SVI values in a real wastewater treatment process （WWTP）. The experimental results demonstrate that the proposed MLQPR meth- od has faster testing speed and more accurate results than some existing methods.
关键词
多项式回归
模型基
回归方法
索引
体积
污泥
评价方法
废水处理
Sludge volume index
Multivariate quadratic polynomial regression
Local estimation method
Wastewater treatment process
