• DocumentCode
    2218727
  • Title

    An Evaluation of Education Informatization Based on BP Neural Network

  • Author

    Qi Zhenguo

  • Author_Institution
    Sch. of Educ. Technol., Shenyang Normal Univ., Shenyang, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    3215
  • Lastpage
    3218
  • Abstract
    Evaluation of education informatization is complex and professional, and highly subjective to the evaluation process and results. The level of education informatization is an important symbol for a school or the other education organizations. Evaluation process of education informatization is Multi-variable and nonlinear. BP neural network has such as strong fault-tolerant, high ability of distributing and conducting information, self-learning, adaptive, nonlinear mapping and so on. It is suitable for the evaluation of education informatization. This paper applies BP neural network to setting up an evaluation model for education informatization and getting a proto model by training and testing. The model provides foundation and references for evaluation of education informatization.
  • Keywords
    backpropagation; education; neural nets; BP neural network; adaptive mapping; education informatization; fault-tolerant; nonlinear mapping; proto model; self-learning, mapping; Computer errors; Educational institutions; Educational programs; Educational technology; Fault tolerance; Information science; Information technology; Mathematical model; Neural networks; Standards organizations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.261
  • Filename
    5454971