Fast property prediction in an industrial rubber mixing process with local ELM model-Reference-Cited by-同舟云学术

Fast property prediction in an industrial rubber mixing process with local ELM model

Published:2017-06-22 Issue:41 Volume:134 Page:45391
ISSN:0021-8995
Container-title:Journal of Applied Polymer Science
language:en
Short-container-title:J. Appl. Polym. Sci.

Author:

Jin Weiya¹,Liu Yi¹^ORCID,Gao Zengliang¹

Affiliation:

1. Department of Process Equipment and Energy Engineering; 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

Foundation of Key Laboratory of Advanced Process Control for Light Industry (Jiangnan University), Ministry of Education, 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.45391/fullpdf

Reference39 articles.

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

2. Neural modelling of Mooney viscosity of polybutadiene rubber

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

4. Yang , D. C. Liu , Y. Fan , Y. G. Wang , H. Q. 2009 404

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