Home /Research /An evolutionary deep learning approach using flexible variable-length dynamic stochastic search for anomaly detection of robot joints
LEARNING

An evolutionary deep learning approach using flexible variable-length dynamic stochastic search for anomaly detection of robot joints

Qi Liu, Yongchao Yu, Boon Siew Han, Wei Zhou

Year
2024
Citations
5

Keywords

Anomaly detectionComputer scienceArtificial intelligenceAnomaly (physics)Variable (mathematics)RobotEvolutionary algorithmMachine learningPattern recognition (psychology)Mathematics

Related papers

Browse all LEARNING papers