Advertisement

The Kalman Particle Swarm Optimization Algorithm and Its Application in Soft-Sensor of Acrylonitrile Yield

  • Yufa Xu
  • Guochu Chen
  • Jinshou Yu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

Abstract

This paper proposes kalman particle swarm optimization algorithm (KPSO), which combines kalman filter with PSO. Comparison of optimization performance between KPSO and PSO with three test functions shows that KPSO has better optimization performance than PSO. The combination of KPSO and ANN is also introduced (KPSONN). Then, KPSONN is applied to construct a soft-sensor of acrylonitrile yield. After comparing with practical industrial data, the result shows that KPSONN is feasible and effective in soft-sensor of acrylonitrile yield.

Keywords

Particle Swarm Optimization Kalman Filter Particle Swarm Optimization Algorithm Global Good Position Global Good Solution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Kennedy, J., Eberhart, R.: Particle Swarm Optimization. In: Proc. IEEE Int. Conf. on Neural Networks, Perth, pp. 1942–1948 (1995)Google Scholar
  2. 2.
    Eberhart, R.C., Shi, Y.: Particle swarm optimization: developments, applications and resources. In: Proc. 2001 Congress on Evolutionary Computation, Soul, South Korea, pp. 81–86 (2001)Google Scholar
  3. 3.
    van den Bergh, F., Engelbrecht, A.P.: A study of particle swarm optimization particle trajectories. Information Sciences 176, 937–971 (2006)MATHCrossRefMathSciNetGoogle Scholar
  4. 4.
    Russel, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Second Prentice Hall, Englewood Cliffs (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yufa Xu
    • 1
    • 2
  • Guochu Chen
    • 1
    • 2
  • Jinshou Yu
    • 1
  1. 1.Research Institute of AutomationEast China University of Science and TechnologyShanghaiChina
  2. 2.College of Electrical EngineeringShanghai DianJi UniversityShanghaiChina

Personalised recommendations