Inference of Differential Equations for Modeling Chemical Reactions

Authors:
Bin Yang;Yuehui Chen;Qingfang Meng
Affiliations:
Computational Intelligence Lab.School of Information Science and Engineering, University of Jinan, Jinan, China 250022;Computational Intelligence Lab.School of Information Science and Engineering, University of Jinan, Jinan, China 250022;Computational Intelligence Lab.School of Information Science and Engineering, University of Jinan, Jinan, China 250022
Venue:
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Year:
2009

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Abstract

This paper presents an evolutionary method for identifying a system of ordinary differential equations (ODEs) from the observed time series data. The structure of ODE is inferred by the Multi Expression Programming (MEP) and the ODE's parameters are optimized by using particle swarm optimization (PSO). The experimental results on chemical reaction modeling problems show effectiveness of the proposed method.