On the Robustness of Forward and Inverse Artificial Neural Networks for the Simulation of Ethylene/1-Butene Copolymerization-Reference-Cited by-同舟云学术

On the Robustness of Forward and Inverse Artificial Neural Networks for the Simulation of Ethylene/1-Butene Copolymerization

Published:2017-10-26 Issue:6 Volume:26 Page:1700042
ISSN:1022-1344
Container-title:Macromolecular Theory and Simulations
language:en
Short-container-title:Macromol. Theory Simul.

Author:

Charoenpanich Thanutchoke¹,Anantawaraskul Siripon¹²,Soares João B. P.³

Affiliation:

1. Department of Chemical Engineering; Center of Excellence on Petrochemical and Materials Technology; Faculty of Engineering; Kasetsart University; 50 Phaholyothin Rd. Jatujak, Bangkok 10900 Thailand

2. Center for Advanced Studies in Nanotechnology and Its Applications in Chemical; Food and Agricultural Industries; Kasetsart University; Bangkok 10900 Thailand

3. Department of Chemical and Materials Engineering; University of Alberta; 9107-116 Street Edmonton Alberta T6G 2V4 Canada

Funder

Thailand Research Fund

Publisher

Wiley

Subject

Materials Chemistry,Inorganic Chemistry,Polymers and Plastics,Organic Chemistry,Condensed Matter Physics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mats.201700042/fullpdf

Reference45 articles.

1. Mathematical modelling of the microstructure of polyolefins made by coordination polymerization: a review

2. Simulating Joint Chain Length and Composition Fractions from Semi-Batch Ethylene Copolymerization Experiments

3. Recent developments in modeling gas-phase catalyzed olefin polymerization fluidized-bed reactors: The effect of bubble size variation on the reactor's performance

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