Probabilistic artificial neural network and E-nose based classification of Rhyzopertha dominica infestation in stored rice grains

2019 ◽  
Vol 186 ◽  
pp. 12-22 ◽  
Author(s):  
Shubhangi Srivastava ◽  
Gayatri Mishra ◽  
Hari Niwas Mishra
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Rhyzopertha Dominica ◽  
Rice Grains ◽  
Artificial Neural

Research of the cold resistance of metals by indentation with registration of an acoustic emission signal

2020 ◽  
pp. 61-64
Author(s):  
Yu.G. Kabaldin ◽  
A.A. Khlybov ◽  
M.S. Anosov ◽  
D.A. Shatagin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Low Temperatures ◽  
Cold Resistance ◽  
Emission Signal ◽  
Impact Bending ◽  
Artificial Neural

The study of metals in impact bending and indentation is considered. A bench is developed for assessing the character of failure on the example of 45 steel at low temperatures using the classification of acoustic emission signal pulses and a trained artificial neural network. The results of fractographic studies of samples on impact bending correlate well with the results of pulse recognition in the acoustic emission signal. Keywords acoustic emission, classification, artificial neural network, low temperature, character of failure, hardness. [email protected]

Scandinavian test of artificial neural network for classification of myocardial perfusion images

2000 ◽  
Vol 20 (4) ◽  
pp. 253-261 ◽  
Author(s):  
Lindahl ◽  
Toft ◽  
Hesse ◽  
Palmer ◽  
Ali ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Myocardial Perfusion ◽  
Artificial Neural

The classification of human tremor signals using artificial neural network

2007 ◽  
Vol 33 (3) ◽  
pp. 754-761 ◽  
Author(s):  
M ENGIN ◽  
S DEMIRAG ◽  
E ENGIN ◽  
G CELEBI ◽  
F ERSAN ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Artificial Neural
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