Application of Artificial Intelligence Algorithms in Abnormal Data Recognition in Motion System Monitoring
Ran Liu · 2023
This article studied the application of artificial intelligence algorithms in identifying abnormal data in motion system monitoring. Five experiments were conducted by collecting and preprocessing data, extracting and selecting features, selecting and optimizing classifiers. The experimental results showed that the algorithm had achieved high levels of accuracy, precision, recall, and F1 value, which proved its effectiveness and practicality in identifying abnormal data in motion system monitoring. This article evaluated and compared, and verified the effectiveness of anomaly detection. This study provided a new solution for identifying abnormal data in motion system monitoring and provided reference for research in other related fields.