Open AccessApplication of fuzzy neural network for estimating the intensity of insulation aging of cable lines
Author(s) -
V.I. Biryulin,
А. Н. Горлов,
О. М. Ларин,
D.V. Kudelina
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/288/1/012060
Subject(s) - artificial neural network , fuzzy logic , indeterminate , computer science , state (computer science) , reliability engineering , data mining , artificial intelligence , engineering , mathematics , algorithm , pure mathematics
The article considers the issues of forecasting the state of insulation of cable lines. It is shown that the insulation state is influenced by a large number of factors, some of which are indeterminate and can not be expressed in the quantitative form. It was proposed to use a fuzzy neural network for predicting the state of insulation, which ensures processing both quantitative and qualitative information, which makes it possible to obtain more valid results, in comparison with the use of only quantitative information.