Reports improved viscosity prediction using machine learning in polyvinyl alcohol production, indicating enhanced process efficiency.
We developed a soft sensor to predict polyvinyl alcohol viscosity and designed process conditions to reach the target range. Using squared and cross terms and time-series data improved prediction accuracy. In the case study, optimal conditions brought off-target products into range.
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Nomura et al. (2026) studied this question.
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