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Updated: Jun 16, 2026

Inkjet-printed Polyvinyl Alcohol Multilayers
Published on: May 11, 2017
Machine learning-based prediction of polyvinyl alcohol product viscosity and design of optimal process conditions
Ryota Nomura1, Yoshihito Yamauchi2, Hiroto Misawa2
1Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa, 214-8571, Japan.
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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