DocumentCode
3443851
Title
Network Traffic Prediction Based on Grey Neural Network Integrated Model
Author
Liu, Yuan ; Cao, Jianhua
Author_Institution
Sch. of Comput., Nanjing Univ. of Sci. & Technol., Nanjing
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
4
Abstract
To measure the workload and state of network operation, a predictable algorithm based on the grey model, neural network and compensator error is present in this paper. The new algorithm has a prominent effect in reflecting the variable trend of data. The simulation results show that the integrated model can improve the prediction precision obviously compared to the other algorithms.
Keywords
Internet; error compensation; grey systems; neural nets; telecommunication computing; telecommunication traffic; Internet; error compensation; grey neural network integrated model; network operation workload measure; network traffic prediction; predictable algorithm; Arithmetic; Biological system modeling; Communication system traffic control; Computer networks; Economic forecasting; Educational institutions; Neural networks; Predictive models; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.1045
Filename
4678953
Link To Document