Recurrent Neural Networks for Short-Term Forecast of Lightpath Performance

被引：0

作者：

Aladin, Sandra ^{[1
]}

Allogba, Stephanie ^{[1
]}

Tran, Anh Vu Stephan ^{[1
]}

Tremblay, Christine ^{[1
]}

机构：

[1] Ecole Technol Super, Network Technol Lab, Montreal, PQ, Canada

来源：

2020 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | 2020年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：3

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