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
Link To Document