Soft sensor based on multi‐phase stacking ensemble model with self‐selected primary learner for batch processes
Jinlong Zhao,
Mingyi Yang,
Zhigang Xu
et al.
Abstract:In batch processes, existing soft sensing methodologies encounter substantial challenges when confronted with nonlinearity and multi‐phase issues. In response to these challenges, an innovative soft sensing framework known as the multi‐phase stacking ensemble model with self‐selected primary learner is proposed. The main innovation of this framework lies in the solution to the primary learner selection issue within the stacking model. To commence, the batch process is divided into multiple phases employing a G… Show more
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