Abstract
Failures in optical networks are of two categories: soft and hard failures. In this paper, the failure detection is monitored by a machine learning (ML) algorithm called artificial neural networks (ANN). The implementation of ANN algorithm for failure management has achieved an accuracy of 98%, when compared with other ML algorithms such as K-nearest neighbor, decision tree and SVM.
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Menaghapriya, B.R., Sangeetha, R.G. (2022). Failure Detection Using Artificial Neural Networks. In: Sivasubramanian, A., Shastry, P.N., Hong, P.C. (eds) Futuristic Communication and Network Technologies. VICFCNT 2020. Lecture Notes in Electrical Engineering, vol 792. Springer, Singapore. https://doi.org/10.1007/978-981-16-4625-6_65
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DOI: https://doi.org/10.1007/978-981-16-4625-6_65
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