• DocumentCode
    2830058
  • Title

    PSO-Based RBF Neural Network Model for Teaching Quality Evaluation

  • Author

    Zhu, Changjun ; Wang, Bin

  • Author_Institution
    Coll. of Urban Constr., Hebei Univ. of Eng., Handan, China
  • fYear
    2009
  • fDate
    11-12 July 2009
  • Firstpage
    47
  • Lastpage
    50
  • Abstract
    In view of the problems existing in previous system of teaching quality, according to our teaching characteristics a new model of PSO-based teaching quality evaluation is set up by means of PSO theory and neural network. And the application procedure of the model is illuminated in detail. By analyzing a lot of practical examples, the experiment result indicates that this mathematical model has better appraisal effect and can overcome the complexity of traditional evaluation model. Compared with other methods, this method is scientific, simple and operable. And its structure and method will have a bright future.
  • Keywords
    educational administrative data processing; particle swarm optimisation; radial basis function networks; teaching; PSO-based RBF neural network model; mathematical model; teaching quality evaluation; Birds; Education; Educational institutions; Equations; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Industrial training; Mathematical model; Neural networks; PSO; evaluation; teaching quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-0-7695-3728-3
  • Type

    conf

  • DOI
    10.1109/CASE.2009.69
  • Filename
    5194387