Neural Network System for Monitoring State of a Optical Telecommunication System

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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