Timber moisture detection using wavelet packet decomposition and convolutional neural network

2021 ◽  
Vol 30 (3) ◽  
pp. 035022
Author(s):  
Cheng Yuan ◽  
Jicheng Zhang ◽  
Lin Chen ◽  
Jia Xu ◽  
Qingzhao Kong
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Wavelet Packet ◽  
Wavelet Packet Decomposition ◽  
Moisture Detection

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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