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
Related Articles
- EP ID EP473425
- DOI 10.18454/2079-6641-2014-9-2-75-80
- Views 133
- Downloads 0
GROUPS WITH REPRESENTATION < a,b;a n = 1,ab = b³a³>
Established that for n = 4 and n ≥ 7 group G(n) = < a,b;a^n = 1,ab = b³a³> are infinite, and for the remaining n evaluated the procedure and investigate the structure of the group G(n).
SOFTWARE OF DATA PROCESSING RADAR INTERFROMETRY ON THE TERRITORY OF KAMCHATKA
This article will deal with radar interferometry and the technical part of the processing of satellite radar data, the Sentinel-1A satellite, as well as the processed data for different periods along the northern part of...
RESEARCHES OF THE THERMAL REGIME OF STRATOSPHERE OVER TOMSK FOR THE PERIOD 2012-2015. ACCORDING TO LIDAR OBSERVATIONS
This article presents a study of the vertical temperature distribution over Tomsk, carried out in disturbed and calm periods of the year for 2012-2015. Based on the accumulated experimental material, a number of features...
A PROBLEM IN THE HALF-STRIP FOR HIGHER ORDER PARABOLIC EQUATION WITH TIME FRACTIONAL RIEMANN-LIOUVILLE DERIVATIVE
We construct a representation of the solution for higher order parabolic equation with time fractional derivative in the half-strip and prove uniqueness theorem in the class of fast-growing functions.
ON THE UNIQUNESS OF THE SOLUTION TO THE BOUNDARY VALUE PROBLEM FOR A MIXED DEGENERATE HYPERBOLIC EQUATION
In this paper the uniquness of the boundary value problem solution for the mixed elliptichyperbolic equation of the second order.