METHOD AND DEVICE FOR TRAINING SERVICE QUALITY EVALUATION MODEL

摘要

The present invention provides a training method and a training apparatus for a service quality assessment model. The method includes: collecting machine performance data, network characteristics data, and quality monitoring data of service nodes according to a fixed cycle; determining an eigenvalue based on the machine performance data and the network characteristics data; determining target quality data based on the quality monitoring data; using the eigenvalue and the target quality data to establish a training dataset; and using the training dataset to construct the service quality assessment model. In the embodiments of the present invention, the machine performance data, the network characteristics data, and the quality monitoring data are correlated through a feature engineering function of a deep neural network. Training is performed in combination with backward propagation to fit a non-linear relationship. Time consumed in manually performing feature engineering is reduced. At the same time, an accuracy of service quality assessment is improved.