Article ID Journal Published Year Pages File Type
6592912 Chinese Journal of Chemical Engineering 2018 7 Pages PDF
Abstract
The problem of designing a model for the sludge volume index (SVI) is addressed in this paper. This model is realized by means of a multivariate local quadratic polynomial regression (MLQPR) method, in which, a quadratic polynomial regression function is established to describe the relationship between SVI and the relative variables. Then, 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 accuracy of the model.228
Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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