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
Link To Document