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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Acknowledgment
This work is partially supported by the Russian Foundation for Basic Research (grants № 15-07-06774, № 16-08-00696, 16-29-04101) and the Council for Grants of the President of Russia (Projects No. MК-7925.2016.9).
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Saveliev, A., Saitov, S., Vatamaniuk, I., Basov, O., Shilov, N. (2016). Neural Network System for Monitoring State of a Optical Telecommunication System. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2016 2016. Lecture Notes in Computer Science(), vol 9870. Springer, Cham. https://doi.org/10.1007/978-3-319-46301-8_4
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