• DocumentCode
    3262844
  • Title

    Quality Evaluation of Universities Undergraduate Practice Teaching Work Based on Artificial Neural Network

  • Author

    Wang Chang-long ; Qi, Yan-Ming

  • Author_Institution
    Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    According to existing problems in universities undergraduate practice teaching work, a simulation model is established on neural network, according to experiment teaching, practice teaching, graduation project and graduation thesis, laboratory management and equipment use as input layer, quality of universities undergraduate practice teaching work as output layer, establish artificial neural network model, and actual data were used for training and practice of the network. The practice showed that the model has well recognizes the precision. Finally obtains digitized the appraisal result, can be accurate, direct-viewing reflection the quality undergraduate practice teaching work the fit and unfit, thus the wide prospect of artificial neural network in the evaluation of quality of universities undergraduate practice teaching work were presented.
  • Keywords
    neural nets; teaching; artificial neural network; graduation project; graduation thesis; quality evaluation; undergraduate practice teaching work; Artificial neural networks; Civil engineering; Computational intelligence; Computational modeling; Computer networks; Data engineering; Education; Educational institutions; Management training; Neurons; artificial neural network; output layer; practice work; undergraduate practice; universities; weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.24
  • Filename
    5230940