THE TECHNIQUE OF INCREASE THE EFFICIENCY OF LEARNING NEURAL KOHONEN MAPS FOR RECOGNITION OF PERTURBATIONS GEOACOUSTIC EMISSION
Journal Title: Вестник КРАУНЦ. Физико-математические науки - Year 2014, Vol 2, Issue
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.
Authors and Affiliations
Alexander Shadrin
Keywords
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- EP ID EP473425
- DOI 10.18454/2079-6641-2014-9-2-75-80
- Views 134
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