SOFT SENSOR MODELING METHOD BY MAXIMIZING OUTPUT-RELATED VARIABLE CHARACTERISTICS BASED ON A STACKED AUTOENCODER AND MAXIMAL INFORMATION COEFFICIENTS

The key factors required to establish a precise soft sensor model for industrial processes include selection of variables affecting vital indicators from a large number of online measurement variables and elimination of the Cappuccino Mug effects of unrelated disturbance variables.How to compress redundant information and retain the unique characte

Abstract The identification of prognostic biomarkers for predicting cancer progression is an important problem for two reasons.First, such biomarkers find practical application in a clinical context for the treatment of patients.Second, interrogation of the biomarkers themselves is assumed to lead to novel insights of disease mechanisms and the und

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