Real-time property prediction for an industrial rubber-mixing process with probabilistic ensemble Gaussian process regression models-Reference-Cited by-同舟云学术

Real-time property prediction for an industrial rubber-mixing process with probabilistic ensemble Gaussian process regression models

Published:2014-09-15 Issue:6 Volume:132 Page:n/a-n/a
ISSN:0021-8995
Container-title:Journal of Applied Polymer Science
language:en
Short-container-title:J. Appl. Polym. Sci.

Author:

Liu Yi¹,Gao Zengliang¹

Affiliation:

1. Engineering Research Center of Process Equipment and Remanufacturing, Ministry of Education, Institute of Process Equipment and Control Engineering, Zhejiang University of Technology; Hangzhou 310014 People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Materials Chemistry,Polymers and Plastics,Surfaces, Coatings and Films,General Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/app.41432/fullpdf

Reference39 articles.

1. Quality assurance in the rubber mixing room – Prediction of the rubber compound properties that are relevant for the elastomer product properties

2. A neural network-based approach for optimising rubber extrusion lines

3. Prediction of properties of rubber by using artificial neural networks

4. Neural modelling of Mooney viscosity of polybutadiene rubber

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