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Issue:A generalized net model of the stochastic gradient descent and dropout algorithm with intuitionistic fuzzy evaluations

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Title of paper: A generalized net model of the stochastic gradient descent and dropout algorithm with intuitionistic fuzzy evaluations
Author(s):
Plamena Yovcheva
Prof. Dr. Assen Zlatarov” University, 1 “Prof. Yakimov” Blvd., Burgas 8010, Bulgaria
plamena.iovcheva@abv.bg
Sotir Sotirov
Prof. Dr. Assen Zlatarov” University, 1 “Prof. Yakimov” Blvd., Burgas 8010, Bulgaria
ssotirov@btu.bg
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 26 (2020), Number 4, pages 80–89
DOI: https://doi.org/10.7546/nifs.2020.26.4.80-89
Download:  PDF (170  Kb, File info)
Abstract: In the paper, we consider a stochastic gradient descent algorithm in combination with a dropout method. We used the theory of intuitionistic fuzzy sets for the assessment of the equivalence of the respective assessment units. We also consider a degree of uncertainty when the information is not enough.
Keywords: Neural networks, Dropout algorithm, Generalized net, Stochastic gradient descent algorithm, Intuitionistic fuzzy sets
AMS Classification: 68Q85, 03E72.
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