Transfer learning of fuzzy classifiers for optimized joint representation of simulated and measured data in anomaly detection of motor phase currents.
Edwin LughoferPatrick ZornEdmund MarthPublished in: Appl. Soft Comput. (2022)
Keyphrases
- anomaly detection
- transfer learning
- measured data
- one class support vector machines
- intrusion detection
- machine learning algorithms
- learning tasks
- detecting anomalies
- active learning
- machine learning
- activity recognition
- labeled data
- cross domain
- transfer knowledge
- reinforcement learning
- collaborative filtering
- semi supervised learning
- training set
- training data
- text mining
- unsupervised learning
- intrusion detection system
- decision trees
- natural language
- training samples
- operating conditions
- target domain
- naive bayes
- object recognition
- control system
- learning algorithm
- text classification
- data sets
- fuzzy logic
- learning environment
- k nearest neighbor
- semi supervised