• DocumentCode
    620633
  • Title

    The design of digit recognition teaching experiment based on BP neural network

  • Author

    Haitao Yu ; Jianyi Guo ; Zhengtao Yu ; Yantuan Xian ; Peng Chen

  • Author_Institution
    Sch. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    5109
  • Lastpage
    5113
  • Abstract
    The teaching of pattern recognition course in postgraduates´ study is too theoretical to learn, and lack of teaching experiments. To solve these problems, this paper researches and explores on how to design digit recognition experiment in this course.we propose an digit recognition teaching plan based on BP neural network. Firstly, we summarize the development and application of digit recognition, as well as the existing problems during the teaching activities at present; then, we use the case teaching method to explain the experimental procedures,and use the method of BP neural network to recognise digit, including the principle of digit recognition, the principle of image preprocessing and the design of neural network, and so on. With the aims of optimizing the original teaching form, stimulating students´ study interests, training their abilities of practice and scientific research , we introduce the design of experiment. Finally, help students to solve practical problems..
  • Keywords
    backpropagation; character recognition; computer aided instruction; computer science education; design of experiments; educational courses; neural nets; teaching; BP neural network; backpropagation; case teaching method; design of experiment; digit recognition teaching experiment; pattern recognition course; teaching activity; Biological neural networks; Character recognition; Feature extraction; Image recognition; Training; BP neural network; Digit recognition; The practice of pattern recognition course;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561862
  • Filename
    6561862