NEUROBIOLOGICAL PROPERTIES OF THE STRUCTURE OF THE PARALLEL-HIERARCHICAL NETWORK AND ITS USAGE FOR PATTERN RECOGNITION
NEUROBIOLOGICZNE WŁAŚCIWOŚCI STRUKTURY SIECI RÓWNOLEGŁOHIERARCHICZNEJ I JEJ WYKORZYSTANIE DO ROZPOZNAWANIA WZORCÓW
Timchenko L. Kokriatskaia N. Tverdomed V. Horban A. Sobovyi O. Pogrebniak L. Burlaka N. Didenko Y. Kozyr M. Kozbakova A.
2024Politechnika Lubelska
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Srodowiska
2024#14Issue 335 - 38 pp.
The paper presents the analysis of neurobiological data on the existence of the structure of a parallel-hierarchical network. Discussed method of parallel-hierarchical transformation based on population coding and its application for the pattern recognition task. Based on the analysis, we can conclude that using the methods proposed, it is possible to measure the geometric parameters and properties of images, which can significantly increase the efficiency of processing, in particular estimating the center of mass based on moment characteristics. Experimental results demonstrate that due to various destabilizing factors, accurately measuring the energy center coordinates of laser beam spot images is challenging. However, training the PI network and classifying the fragments into good and bad can considerably enhance the accuracy of these measurements.
center of images , laser , parallel-hierarchical network , pattern recognition task , population coding , proceeding of images
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State University of Infrastructure and Technology, Kyiv, Ukraine
Kruty Heroes Military Institute of Telecommunications and Information Technologies, Kyiv, Ukraine
Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine
Almaty Technological University, Institute of Information and Computational Technologies CS MHES, Almaty, Kazakhstan
State University of Infrastructure and Technology
Kruty Heroes Military Institute of Telecommunications and Information Technologies
Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University
Almaty Technological University
10 лет помогаем публиковать статьи Международный издатель
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