Geodesic
The technique of increase the efficiency of learning neural Kohonen maps for recognition of perturbations geoacoustic emission
Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 2 (2014), pp. 75-80

Voir la notice de l'article provenant de la source Math-Net.Ru

This work is dedicated to technique of training Kohonen maps on the example of geoacoustical signal in the subrange 1500-6000 Hz. Describes the parameters of learning the Kohonen maps to classify anomalies in geoacoustical signal on different types
Keywords: geoacoustical emission, disturbance, neural Kohonen maps, learning.
Mots-clés : geoacoustic signal 
@article{VKAM_2014_2_a10,
     author = {A. V. Shadrin},
     title = {The technique of increase the efficiency of learning neural {Kohonen} maps for recognition of perturbations geoacoustic emission},
     journal = {Vestnik KRAUNC. Fiziko-matemati\v{c}eskie nauki},
     pages = {75--80},
     publisher = {mathdoc},
     number = {2},
     year = {2014},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VKAM_2014_2_a10/}
}
TY  - JOUR
AU  - A. V. Shadrin
TI  - The technique of increase the efficiency of learning neural Kohonen maps for recognition of perturbations geoacoustic emission
JO  - Vestnik KRAUNC. Fiziko-matematičeskie nauki
PY  - 2014
SP  - 75
EP  - 80
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/VKAM_2014_2_a10/
LA  - ru
ID  - VKAM_2014_2_a10
ER  - 
%0 Journal Article
%A A. V. Shadrin
%T The technique of increase the efficiency of learning neural Kohonen maps for recognition of perturbations geoacoustic emission
%J Vestnik KRAUNC. Fiziko-matematičeskie nauki
%D 2014
%P 75-80
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/VKAM_2014_2_a10/
%G ru
%F VKAM_2014_2_a10
A. V. Shadrin. The technique of increase the efficiency of learning neural Kohonen maps for recognition of perturbations geoacoustic emission. Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 2 (2014), pp. 75-80. http://geodesic.mathdoc.fr/item/VKAM_2014_2_a10/