Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks

Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks

Abstract Fiber optics cable has been adopted by telecommunication companies worldwide as the primary medium of transmission. The cable is steadily replacing long-haul microwave, copper cable, and satellite transmissions systems. Fiber cable has been deployed in an underground, submarine, and aerial...

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Bibliographic Details
Main Authors: Owusu Nyarko-Boateng, Adebayo Felix Adekoya, Benjamin Asubam Weyori
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:Journal of Big Data
Subjects:
Cost of repairing fiber cable
Underground optical networks
Cause of cable cut
Feedforward neural networks
Linear regression
MTTR
Online Access:http://link.springer.com/article/10.1186/s40537-020-00343-4

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http://link.springer.com/article/10.1186/s40537-020-00343-4

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