OATGA: Optimizing Adversarial Training via Genetic Algorithm for Automatic Modulation Classification.
Zhida BaoJiawei HeQuanjun ZhangChunrong FangKeshav SoodYun LinPublished in: GLOBECOM (2023)
Keyphrases
- genetic algorithm
- training set
- training phase
- pattern recognition
- neural network
- training samples
- supervised learning
- machine learning
- feature extraction
- classification method
- class labels
- classification scheme
- text classification
- classification accuracy
- feature vectors
- decision trees
- pattern classification
- classification algorithm
- support vector machine
- classification performances
- training patterns
- multi layer perceptron
- classification systems
- automatic classification
- support vector
- semi automatic
- decision rules
- cross validation
- multi objective
- fitness function
- genetic programming
- training examples
- binary decision tree
- genetic algorithm ga
- training speed
- active learning
- unsupervised learning
- multi agent
- preprocessing
- training algorithm
- cost sensitive
- fully automatic
- machine learning methods