Open AccessIncreasing the metrological characteristics of anechoic chambers due to a posteriori analysis based on artificial neural networks
Author(s) -
Yuliya S. Harshkova,
Sergey V. Maly,
Andrei V. Tkachenia,
Igor E. Kheidorov
Publication year - 2022
Publication title -
žurnal belorusskogo gosudarstvennogo universiteta. fizika
Language(s) - English
Resource type - Journals
eISSN - 2617-3999
pISSN - 2520-2243
DOI - 10.33581/2520-2243-2022-3-93-103
Subject(s) - anechoic chamber , a priori and a posteriori , artificial neural network , electromagnetic field , computer science , acoustics , maximum a posteriori estimation , metrology , field (mathematics) , component (thermodynamics) , artificial intelligence , mathematics , optics , physics , statistics , maximum likelihood , philosophy , epistemology , quantum mechanics , pure mathematics , thermodynamics