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In this paper, a data-driven scheme of spherical kernel partial least squares based on feature subspace (FS-SKPLS) will be applied to the wastewater treatment process (WWTP). First, select appropriate data variables. Utilize the benchmark simulation model no. 1 (BSM1) to obtain large amounts of training and testing data needed in the process monitoring. Then, introduce the feather subspace method...
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