Automatic Classification of Transiently Evoked Otoacoustic Emissions Using an Artificial Neural Network

1998 ◽  
Vol 32 (4) ◽  
pp. 235-247 ◽  
Author(s):  
G. Buller ◽  
M. E. Lutman
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Otoacoustic Emissions ◽  
Automatic Classification ◽  
Artificial Neural ◽  
Transiently Evoked Otoacoustic Emissions

Automatic classification of Tamil documents using vector space model and artificial neural network

2009 ◽  
Vol 36 (8) ◽  
pp. 10914-10918 ◽  
Author(s):  
K. Rajan ◽  
V. Ramalingam ◽  
M. Ganesan ◽  
S. Palanivel ◽  
B. Palaniappan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Vector Space ◽  
Vector Space Model ◽  
Automatic Classification ◽  
Space Model ◽  
Artificial Neural

Automatic classification of DMSA scans using an artificial neural network

2014 ◽  
Vol 59 (7) ◽  
pp. 1789-1800 ◽  
Author(s):  
J W Wright ◽  
R Duguid ◽  
F Mckiddie ◽  
R T Staff
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Automatic Classification ◽  
Artificial Neural

scholarly journals Automatic classification of field-collected dinoflagellates by artificial neural network

1996 ◽  
Vol 139 ◽  
pp. 281-287 ◽  
Author(s):  
PF Culverhouse ◽  
RG Simpson ◽  
R Ellis ◽  
JA Lindley ◽  
R Williams ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Automatic Classification ◽  
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]

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