Machine learning-based prediction of polyvinyl alcohol product viscosity and design of optimal process conditions.
Journal:
Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Published Date:
Jun 15, 2026
Abstract
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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