Regression Methods Based on Nearest Neighbors with Adaptive Distance Metrics Applied to a Polymerization Process

Regression Methods Based on Nearest Neighbors with Adaptive Distance Metrics Applied to a Polymerization Process

Empirical models based on sampled data can be useful for complex chemical engineering processes such as the free radical polymerization of methyl methacrylate achieved in a batch bulk process. In this case, the goal is to predict the monomer conversion, the numerical average molecular weight and the...

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Bibliographic Details
Main Authors: Silvia Curteanu, Florin Leon, Andra-Maria Mircea-Vicoveanu, Doina Logofătu
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
large margin nearest neighbor regression
distance metrics
prototypes
evolutionary algorithm
approximate differential optimization
multiple point hill climbing
Online Access:https://www.mdpi.com/2227-7390/9/5/547

Internet

https://www.mdpi.com/2227-7390/9/5/547

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