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JOURNALS // Vestnik KRAUNC. Fiziko-Matematicheskie Nauki // Archive

Vestnik KRAUNC. Fiz.-Mat. Nauki, 2014 Number 2(9), Pages 75–80 (Mi vkam46)

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.

UDC: 004.032.26

MSC: 68T10

Received: 15.11.2014

DOI: 10.18454/2079-6641-2014-9-2-75-80


 English version:
Bulletin KRASEC. Physical and Mathematical Sciences, 2014, 9:2, 79–84

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