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2016 | OriginalPaper | Chapter

Neural Network System for Monitoring State of a Optical Telecommunication System

Authors : Anton Saveliev, Sergey Saitov, Irina Vatamaniuk, Oleg Basov, Nikolay Shilov

Published in: Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Publisher: Springer International Publishing

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Abstract

The paper presents a methodology for the synthesis of systems for monitoring the state of a fiber-optical linear path of the optical transport networks, based on the information and measuring control system that implements neural network recognition algorithms with synthesis by dominance. The proposed information-measuring system processes levels of the average intensity of the optical signal received at various carriers in a certain retrospective over a defined period of time. It is seen that the reliability of control increases with the growth of size of the watch window.

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Metadata
Title
Neural Network System for Monitoring State of a Optical Telecommunication System
Authors
Anton Saveliev
Sergey Saitov
Irina Vatamaniuk
Oleg Basov
Nikolay Shilov
Copyright Year
2016
Book
Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Print ISBN: 978-3-319-46300-1

Electronic ISBN: 978-3-319-46301-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-46301-8_4

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