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Key performance indicator anomaly detection in telephony networks

机译:关键性能指示器Onomaly检测电话网络

摘要

The present invention relates to communications methods and apparatus dynamically detecting and/or mitigating anomalies in communications systemsetworks. An exemplary method of operating a system to detect traffic anomalies includes the steps of: inputting input values, said input values including i) a set of key performance indicator values and ii) one or more selector values corresponding to a first anomaly group classification instance into a trained neural network; operating the trained neural network to output values corresponding to the inputted set of key performance indicator values; determining a score for the first anomaly group classification instance based on the output values of the trained neural network corresponding to the key performance indicator values, each of said output values corresponding to one key performance indicator input value; and when the score is above a first threshold determining that an anomaly condition exists with respect to the first anomaly group classification instance.
机译:本发明涉及通信方法和装置动态检测和/或减轻通信系统/网络中的异常。操作系统以检测流量异常的示例性方法包括以下步骤:输入输入值,包括i)一组关键性能指示符值和II)与第一异常组分类实例相对应的一个或多个选择器值训练有素的神经网络;操作训练的神经网络以输出与输入的关键性能指示值值相对应的值;基于对应于关键性能指示值的训练神经网络的输出值确定第一异常组分类实例的分数,每个所述输出值对应于一个关键性能指示符输入值;并且当得分高于第一阈值时,确定关于第一异常组分类实例存在的异常条件。

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