Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning.
Xiaoming LiuZhanwei ZhangLingjuan LyuZhaohan ZhangShuai XiaoChao ShenPhilip S. YuPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- evolutionary learning
- spatio temporal
- movement patterns
- network traffic
- prediction accuracy
- evolutionary computation
- modular neural networks
- image sequences
- moving objects
- anomaly detection
- intrusion detection
- dynamic environments
- space time
- reinforcement learning
- prediction error
- dynamic analysis
- artificial intelligence
- dynamic routing
- cooperative behavior
- genetic algorithm
- prediction model
- dynamic textures
- dynamically changing