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KEY PERFORMANCE INDICATOR ANOMALY DETECTION IN TELEPHONY NETWORKS

机译:电话网络中的关键性能指标异常检测

摘要

The present invention relates to communications methods and apparatus dynamically detecting and/or mitigating anomalies in communications systems/networks. 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:本发明涉及在通信系统/网络中动态检测和/或减轻异常的通信方法和装置。一种用于检测交通异常的系统的示例性方法包括以下步骤:输入输入值,所述输入值包括:i)一组关键绩效指标值;以及ii)与第一异常组分类实例相对应的一个或多个选择器值。受过训练的神经网络;操作经训练的神经网络以输出与所输入的关键绩效指标值集合相对应的值;根据与关键绩效指标值相对应的训练后神经网络的输出值,确定第一异常组分类实例的得分,所述输出值中的每一个对应于一个关键绩效指标输入值;当所述得分高于第一阈值时,确定关于所述第一异常组分类实例存在异常状况。

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