Title :
Study on forecasting model of CET4 passing-rate in general academy with rough set & ANN
Author_Institution :
Sch. of Foreign Languages, Jiu Jiang Univ., Jiang Xi, China
Abstract :
This paper analyses main factors influencing CET4 passing-rate after investigating some classes and reducing related factors based on rough set to find out the core factor and minimum reduction, and then sets up forecasting model of low passing rate with ANN. In virtue of this situation, to switch original post-controlling into pre-controlling in general academy is expected to avoid low passing-rate in maximum.
Keywords :
forecasting theory; neural nets; rough set theory; ANN; CET4; forecasting model; general academy; passing rate; rough set; Artificial neural networks; Educational institutions; Forecasting; Indexes; Predictive models; Silicon compounds; Tires; CET4; passing rate; rough set;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641104
