Inference of Differential Equations for Modeling Chemical Reactions

  • Bin Yang
  • Yuehui Chen
  • Qingfang Meng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5551)

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.

Keywords

Multi expression programming Ordinary differential equations Particle swarm optimization Chemical reaction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Bin Yang
    • 1
  • Yuehui Chen
    • 1
  • Qingfang Meng
    • 1
  1. 1.Computational Intelligence Lab.School of Information Science and EngineeringUniversity of JinanJinanChina

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