Hybrid machine learning EDFA model
Optical Fiber Communication Conference, 2020•opg.optica.org
… In this paper, we proposed a hybrid machine learning (HML) model for EDFAs, which
combines an analytical model with a neural network machine learning model to achieve
higher prediction accuracy while reducing the training complexity, in both the training time
and the size of the training sample data sets. … In this paper, we examined a hybrid
machine learning model which takes advantage of an analytical model as input to the
machine learning model. Based on experimental measurements, this HML model is shown …
combines an analytical model with a neural network machine learning model to achieve
higher prediction accuracy while reducing the training complexity, in both the training time
and the size of the training sample data sets. … In this paper, we examined a hybrid
machine learning model which takes advantage of an analytical model as input to the
machine learning model. Based on experimental measurements, this HML model is shown …
Abstract
A hybrid machine learning (HML) model combining a-priori and a-posteriori knowledge is implemented and tested, which is shown to reduce the prediction error and training complexity, compared to an analytical or neural network learning model.
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