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INFORMATION AND COMPUTATION TECHNOLOGIES
The technique of increase the efficiency of learning neural Kohonen maps for recognition of perturbations geoacoustic emission
A. V. Shadrin Institute of Cosmophysical Researches and Radio Wave Propagation Far-Eastern Branch, Russian Academy of Sciences, 684034, Kamchatskiy Kray, Paratunka, Mirnaya st., 7, Russia
Abstract:
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, geoacoustic signal, disturbance, neural Kohonen maps, learning.
Received: 15.11.2014
Citation:
A. V. Shadrin, “The technique of increase the efficiency of learning neural Kohonen maps for recognition of perturbations geoacoustic emission”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 2014, no. 2(9), 75–80; Bulletin KRASEC. Phys. & Math. Sci., 9:2 (2014), 79–84
Linking options:
https://www.mathnet.ru/eng/vkam46 https://www.mathnet.ru/eng/vkam/y2014/i2/p75
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Abstract page: | 160 | Russian version PDF: | 38 | English version PDF: | 9 | References: | 40 |
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