Quantifying Features' Contribution for ML-based Quality-of-Transmission Estimation using Explainable AI
2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC)(2022)
摘要
We apply an explainable artificial intelligence framework to interpret quality of transmission predictions produced by a machine learning model. The framework identifies the combinations of features' values relevant to drive the prediction process. (C) 2022 The Author(s)
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关键词
explainable AI,explainable artificial intelligence framework,machine learning model,ML-based quality-of-transmission estimation,quantifying features,transmission predictions
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