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ITU-T P.1402 (07/2022)

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电信场景下QoS/QoE预测和网络性能管理基于机器学习的解决方案开发指南
ITU-T P.1402建议书介绍了机器学习技术及其在电信场景中的服务质量(QoS)和体验质量(QoE)预测以及网络性能管理的应用。本建议书特别描述了训练和评估数据的设计,以及避免机器学习模型过度训练的方法。 此外,这一建议书还讨论了与经典模型或算法开发的关系并描述了相关差异。本建议书为基于机器学习的模型的成功开发和评估提供了最佳实践指南,但并未描述用于特定目的的具体模型或算法。
Citation: https://handle.itu.int/11.1002/1000/15012
Series title: P series: Telephone transmission quality, telephone installations, local line networks
  P.1400-P.1499: Statistical analysis, evaluation and reporting guidelines of quality measurements
Approval date: 2022-07-29
Provisional name:P.MLGuide
Approval process:AAP
Status: In force
Maintenance responsibility: ITU-T Study Group 12
Further details: Patent statement(s)
Development history