Title :
An Evaluation of Education Informatization Based on BP Neural Network
Author_Institution :
Sch. of Educ. Technol., Shenyang Normal Univ., Shenyang, China
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.261