A NN-GM (1,1) MODEL - BASED ANALYSIS OF NETWORK TRAFFIC FORECASTING
- Release time:2024-08-09
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Affiliation of Author(s):
理学院
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Journal:
Proceedings 2010 3rd IEEE International Conference on Broadband Network & Multimedia Technology
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Key Words:
中文关键字：网络流量;新陈代谢GM(1,1);神经网络;预测模型，英文关键字：Network Traffic;metabolic-GM(1,1);Neural Network;F
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Abstract:
For the method of neural network can modify and better the forecasting effects of grey prediction model, a combined NN-GM (1,1) forecasting model is proposed. After the time sequence of the
network traffic was analyzed, the equidistant metabolic GM (1,1) forecasting model was constructed, and the residual error of the model was corrected by neural network based on Error Back propagation (BP) algorithm. The forecasting results of the experiments and the simulation show that the combined model is more effective than the single common grey model. The application of the proposed combined model to network traffic forecasting may offer scientific rationale for LAN virus detection, illegal invasion prevention and Internet routing decision.
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Note:
白燕
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Co-author:
马珂
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First Author:
任庆昌,baiyan
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Indexed by:
Journal paper
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Volume:
卷：
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Issue:
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Page Number:
页：191-194
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Translation or Not:
no
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Date of Publication:
2010-10-01
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