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Genetic ANFIS for scheduling in telecommunication networks
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Paper Abstract

The paper proposes using a fuzzy controller in telecommunication networks for improving the scheduling process. A structure of the fuzzy controller was developed. Linguistic variables, terms and membership functions for input and output values were defined. A rules base was developed. An Adaptive Neuro-fuzzy Inference System (ANFIS) on the base of the fuzzy-controller was developed. A genetic algorithm to improve the rule base was proposed. The operation of ANFIS was simulated and trained.

Paper Details

Date Published: 1 October 2018
PDF: 8 pages
Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108081Z (1 October 2018); doi: 10.1117/12.2501503
Show Author Affiliations
Olena O. Semenova, Vinnytsia National Technical Univ. (Ukraine)
Andriy O. Semenov, Vinnytsia National Technical Univ. (Ukraine)
Oleg V. Bisikalo, Vinnytsia National Technical Univ. (Ukraine)
Pavlo I. Kulakov, Vinnytsia National Technical Univ. (Ukraine)
Rami R. Hamdi, JBM (Jordan)
Ryszard Romaniuk, Warsaw Univ of Technology (Poland)
Baituma Bissarinov, Al-Farabi Kazakh National Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 10808:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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