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ANALYSIS OF METHODS AND TOOLS FOR PROCESSING VECTOR DATA ARRAYS IN NEUROSTRUCTURES

Makeeva Oksana Valeryevna  (Candidate of Technical Sciences, Associate Professor of the Department of Higher Mathematical Support and Standardization of Information Technologies of Information Technologies Institute by Federal State Budgetary Educational Institution of Higher Education “MIREA – Russian Technological University”)

Krasnikov Stepan Albertovich  (Doctor of Technical Sciences, Professor of the Department of Higher Mathematical Support and Standardization of Information Technologies of Information Technologies Institute by Federal State Budgetary Educational Institution of Higher Education “MIREA – Russian Technological University”)

Nikolaeva Svetlana Vladimirovna  (Doctor of Technical Sciences, Professor of the Department of Higher Mathematics and Programming of Advanced Technologies and Industrial Programming Institute by Federal State Budgetary Educational Institution of Higher Education “MIREA – Russian Technological University”; Professor of the Department of Physics named after V.A. Fabricant Institute of Radio Engineering and Electronics named after V.A. Kotelnikov by National Research University “Moscow Power Engineering Institute” )

The article presents a review of methods and tools for processing vector data arrays in neurostructures by the example of neural chips. Particular attention is paid to the method based on the principle of difference-slice. A mathematical model for difference-slice processing of vector data is formalized separately. The peculiarities of using KVP-transformation for data analysis that allows to increase the speed of processing the incoming signals and to avoid additional errors in the results are also described.

Keywords:vector data, intelligent analysis, processing, neural network, neural network, difference slices
 

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Citation link:
Makeeva O. V., Krasnikov S. A., Nikolaeva S. V. ANALYSIS OF METHODS AND TOOLS FOR PROCESSING VECTOR DATA ARRAYS IN NEUROSTRUCTURES // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№05. -С. 84-87 DOI 10.37882/2223-2966.2023.05.20
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