Abstract—To solve the strong nonlinearity and data deterioration due to missing, outliers contained in the training data, this paper combines robust EMPCA.

PDF | To solve the strong nonlinearity and data deterioration due to missing, outliers contained in the training data, this paper combines robust EMPCA.

Simulations results for industrial process data show that the proposed method outperforms basic PLS, the polynomial PLS and NNPLS for the prediction of effluent ...

Simulations results for industrial process data show that the proposed method outperforms basic PLS, the polynomial PLS and NNPLS for the prediction of ...

Abstract: To solve the strong nonlinearity and data deterioration due to missing, outliers contained in the training data, this paper combines robust EMPCA ( ...

Bibliographic details on Nonlinear Robust PLS Modeling of Wastewater Effluent Quality Indices.

... (PLS) model has been proposed to improve the prediction performance and stability of effluent quality indexes. First, an adaptive matrix expansion scheme is ...

Sep 10, 2021 · Taking into account the complex biochemical characteristics of WWTP, an adaptive dynamic nonlinear partial least squares (PLS) model has been ...

Reliable measurements of effluent quality are important for different operational ... Nonlinear Robust PLS Modeling of Wastewater Effluent Quality Indices.