Spearman Correlation Coefficient Abnormal Behavior Monitoring Technology Based on RNN in 5G Network for Smart City
Chao Li, Hui Yang, Bowen Bao, Huifeng Guo, Yong Hua Jiang, Jie Zhang · 2020
With the development of 5G networks, software and hardware technologies, the feasibility of smart cities has been significantly improved, and a large number of smart city technologies have been proposed. Against this background, a more feasible abnormal behavior monitoring technology is important to ensure the normal operation of smart city network services. Therefore, in this paper, we proposed a Spearman's correlation coefficient abnormal behavior monitoring technology based on recurrent neural network in 5G network for smart city.