• DocumentCode
    1689301
  • Title

    Application of neural network based on particle swarm algorithm for the results of the students

  • Author

    Zhang, Wen-Ying ; Peng, Xiu-Yan ; Tang, Mo

  • Author_Institution
    Sch. of Sci., Harbin Eng. Univ., Harbin, China
  • fYear
    2010
  • Firstpage
    1218
  • Lastpage
    1221
  • Abstract
    This paper presents a particle swarm optimization(PSO) algorithm in training a back propagation (BP) neural network which is used for a prediction model of the results of the college students. The present algorithm is used to combine the influencing factors of the students results with the results themselves. Compared to the BP algorithm, the present algorithm achieves better error precision with a fewer number of iterations and establishes a better prediction system.
  • Keywords
    learning (artificial intelligence); particle swarm optimisation; PSO; back propagation neural network; particle swarm algorithm; prediction system; Artificial neural networks; Automation; Construction industry; Educational institutions; Particle swarm optimization; Prediction algorithms; Predictive models; models; neural networks; particle swarm optimization(PSO); prediction; students;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554508
  • Filename
    5554508