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Transfer Learning from Unbiased Training Data Sets for QoT Estimation in WDM Networks | IEEE Conference Publication | IEEE Xplore

Transfer Learning from Unbiased Training Data Sets for QoT Estimation in WDM Networks


Abstract:

We assess the benefits of transfer learning based on artificial neural networks (ANN) using unbiased training data sets for Qo T-estimation of unestablished light paths. ...Show More

Abstract:

We assess the benefits of transfer learning based on artificial neural networks (ANN) using unbiased training data sets for Qo T-estimation of unestablished light paths. This study considers transfer learning from the CONUS topology and from an unbiased training data set to the Germany50 topology.
Date of Conference: 06-10 December 2020
Date Added to IEEE Xplore: 04 February 2021
ISBN Information:
Conference Location: Brussels, Belgium

References

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