ESTIMATING NET SAND FROM BOREHOLE IMAGES IN LAMINATED DEEPWATER RESERVOIRS WITH A NEUTRAL NETWORK

2019 ◽  
Author(s):  
Bo Gong ◽  
Dustin Keele ◽  
Emmanuel Toumelin ◽  
Simon Clinch
Keyword(s):  
Neutral Network

Accurate and real-time human-joint-position estimation for a patient-transfer robot using a two-level convolutional neutral network

2021 ◽  
Vol 139 ◽  
pp. 103735
Author(s):  
Mengqian Chen ◽  
Jiang Wu ◽  
Shunda Li ◽  
Jinyue Liu ◽  
Hideo Yokota ◽  
...  
Keyword(s):  
Real Time ◽  
Position Estimation ◽  
Patient Transfer ◽  
Neutral Network ◽  
Joint Position ◽  
Human Joint

A New Method of Rolling Prediction for Gas Emission Based on Wavelet Neural Network

2011 ◽  
Vol 383-390 ◽  
pp. 1500-1506
Author(s):  
Yu Min Pan ◽  
Xiao Yu Zhang ◽  
Peng Qian Xue
Keyword(s):  
Neural Network ◽  
Input Data ◽  
Wavelet Neural Network ◽  
New Method ◽  
Neutral Network ◽  
Gas Emission ◽  
Sample Data ◽  
Simulation Results

A new method of rolling prediction for gas emission based on wavelet neural network is proposed in this paper. In the method, part of the sample data is selected, which length is constant, and the data is reselected as the next prediction step. Then a wavelet neutral network is adopted to prediction which input data is rolling, the sequence model of rolling prediction is thus constructed. Simulation results have proved that the method is valid and feasible.

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