Open AccessCompensation for the Temperature Dependence of the Fog Output Signal
Author(s) -
D. A. Gontar,
E. V. Dranitsyna
Publication year - 2022
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1215/1/012003
Subject(s) - compensation (psychology) , signal (programming language) , range (aeronautics) , artificial neural network , identification (biology) , atmospheric temperature range , computer science , control theory (sociology) , artificial intelligence , materials science , physics , psychology , meteorology , botany , control (management) , psychoanalysis , composite material , biology , programming language
This paper proposes a method for compensating the temperature error in the FOG output signal using neural networks. One of the main advantages of the method lies in possibility for identification of complex dependencies without losing compensation accuracy at the boundaries of the temperature range.