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Network Traffic Prediction Based on Grey Neural Network Integrated Model

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2 Author(s)
Yuan Liu ; Sch. of Comput., Nanjing Univ. of Sci. & Technol., Nanjing ; Jianhua Cao

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.

Published in:

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Date of Conference:

12-14 Oct. 2008

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