Open AccessCOMPARATIVE ANALYSIS OF APPROXIMATION METHODS USING REGRESSION RELATIONSHIPS AND NEURAL NETWORKS FOR LINEAR MODELS
Author(s) -
Svetlana Senotova
Publication year - 2021
Publication title -
sbornik naučnyh trudov angarskogo gosudarstvennogo tehničeskogo universiteta
Language(s) - English
Resource type - Journals
ISSN - 2686-7788
DOI - 10.36629/2686-7788-2021-1-1-31-35
Subject(s) - artificial neural network , linear regression , regression analysis , econometrics , statistics , regression , computer science , artificial intelligence , mathematics
The paper examines comparative analysis of approximation methods using regression dependencies and neural networks for linear models.