Artificial Intelligence Modelling Methodologies Applied to a Polymerization Process

Silvia Curteanu, Elena-Niculina Dragoi, Florin Leon, Cristina Butnariu


A series of modelling methodologies based on artificial intelligence tools are applied to solve a complex real-world problem. Neural networks and support vector machines are used as models and differential evolution and clonal selection algorithms as optimizers for structural and parametric optimization of the models. The goal is to make a comparative analysis of these methods for the case study of the free radical polymerization of styrene, a complex, difficult to model process, where the monomer conversion and molecular masses are predicted as a function of reaction conditions, i.e. temperature, amount of initiator and time. Four modelling methodologies are developed and evaluated in terms of accuracy.


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Paper Citation

in Harvard Style

Curteanu S., Dragoi E., Leon F. and Butnariu C. (2014). Artificial Intelligence Modelling Methodologies Applied to a Polymerization Process . In Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-038-3, pages 43-49. DOI: 10.5220/0005029800430049

in Bibtex Style

author={Silvia Curteanu and Elena-Niculina Dragoi and Florin Leon and Cristina Butnariu},
title={Artificial Intelligence Modelling Methodologies Applied to a Polymerization Process},
booktitle={Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},

in EndNote Style

JO - Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Artificial Intelligence Modelling Methodologies Applied to a Polymerization Process
SN - 978-989-758-038-3
AU - Curteanu S.
AU - Dragoi E.
AU - Leon F.
AU - Butnariu C.
PY - 2014
SP - 43
EP - 49
DO - 10.5220/0005029800430049