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. © 2009 Springer Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Yang, B., Chen, Y., & Meng, Q. (2009). Inference of differential equations for modeling chemical reactions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5551 LNCS, pp. 1014–1023). https://doi.org/10.1007/978-3-642-01507-6_114
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
