DocumentCode :
3114851
Title :
Application of Combined Grey Neural Network and Data Mining in Information Technology Education
Author :
Qu Zhiming ; Hou Wei
Author_Institution :
Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
fYear :
2009
fDate :
13-14 Dec. 2009
Firstpage :
163
Lastpage :
166
Abstract :
Using the theory of grey system, data mining technology and radial basis function (RBF) neural network method, a new model, the combined model of grey system and RBF neural network, is setup, which aims at solving the user´s received data safety analysis. The results show that, in short-term prediction of data safety, GM is an effective way and RBF has perfect ability to study and map. The combined model of grey system and neural network, to a large extent, has the dual properties of trend and fluctuation under the condition of combining with the time-dependent sequence data. It is concluded that great improvement comparing with any method of trend prediction and simple factor in combined model of grey system and neural network comparing with the any model of grey system and RBF neural network in data safety analysis.
Keywords :
data mining; grey systems; information science education; radial basis function networks; RBF neural network; combined grey neural network; data mining technology; data safety analysis; grey system theory; information technology education; radial basis function neural network; time-dependent sequence data; Data analysis; Data engineering; Data mining; Delta modulation; Educational technology; Information technology; Neural networks; Predictive models; Safety; Systems engineering education; data mining; data safety analysis; grey system; radial basic functions neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Training, 2009. ETT '09. Second International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3936-2
Electronic_ISBN :
978-1-4244-5527-0
Type :
conf
DOI :
10.1109/ETT.2009.8
Filename :
5381414
Link To Document :
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