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Conferences > OFC > 2020 > W2A > W2A.24

Recurrent Neural Networks for Short-Term Forecast of Lightpath Performance

Sandra Aladin, Stéphanie Allogba, Anh Vu Stephan Tran, and Christine Tremblay

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Abstract

We show how the Recurrent Neural Networks can be used for performance prediction of lightpaths using field bit error rate data. Moreover, we illustrate how the forecast horizons and observation windows affect the forecast accuracy.

© 2020 The Author(s)

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