A novel internet traffic identification approach using wavelet packet decomposition and neural network

2012 ◽  
Vol 19 (8) ◽  
pp. 2218-2230 ◽  
Author(s):  
Jun Tan ◽  
Xing-shu Chen ◽  
Min Du ◽  
Kai Zhu
Keyword(s):  
Neural Network ◽  
Wavelet Packet ◽  
Internet Traffic ◽  
Wavelet Packet Decomposition ◽  
Traffic Identification ◽  
Identification Approach

Intelligent Identification of Flow Regime Based on a Novel Neural Network

2014 ◽  
Vol 635-637 ◽  
pp. 1715-1718
Author(s):  
Qiang Wang
Keyword(s):  
Neural Network ◽  
Frequency Domain ◽  
Flow Regime ◽  
Recurrent Neural Network ◽  
Pressure Difference ◽  
Wavelet Packet ◽  
Wavelet Packet Decomposition ◽  
Elman Neural Network ◽  
Flow Regime Identification ◽  
Novel Method

A noveol neural network of Elman is typically dynamic recurrent neural network. A novel method of flow regime identification based on Elman neural network and wavelet packet decomposition is proposed in this paper. Above all, the collected pressure-difference fluctuation signals are decomposed by the four-layer wavelet packet, and the decomposed signals in various frequency bands are obtained within the frequency domain. Then the wavelet packet energy eigenvectors of flow regimes are established. At last the wavelet packet energy eigenvectors are input into Elman neural network and flow regime intelligent identification can be performed.

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