Bulletin KRASEC. Phys. & Math. Sci, 2014, V. 9, №. 2, pp. 79-84. ISSN 2313-0156

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DOI: 10.18454/2313-0156-2014-9-2-79-84

MSC 68T10

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.

E-mail: SugerMas@yandex.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.

Key words: geoacoustical emission, geoacoustic signal, disturbance, neural Kohonen maps, learning.

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Original article submitted: 15.11.2014


Sha  Shadrin Alexander Vitalyevich – Junior Researcher of Lab. Acoucstic Research, Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS.

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