Time-series Anomaly Detection Study Based on Deep Learning

With the rapid development of deep learning technology, anomaly detection based on deep learning has become an important research direction. This paper classifies and summarizes anomaly detection methods, covering traditional methods, machine learning-based methods, and deep learning-based methods. It particularly introduces typical deep learning models, analyzing their respective advantages and disadvantages. Experiments were conducted on two public datasets, and the performance of each model in anomaly detection was compared in detail.