A boundary-fixed negative selection algorithm with online adaptive learning under small samples for anomaly detection.
Dong LiShulin LiuHongli ZhangPublished in: Eng. Appl. Artif. Intell. (2016)
Keyphrases
- negative selection algorithm
- adaptive learning
- anomaly detection
- small samples
- model selection
- online learning
- sample size
- clonal selection algorithm
- maximum entropy model
- learning objects
- reinforcement learning
- neural network
- learning environment
- e learning
- maximum likelihood
- malware detection
- support vector machine
- knn
- concept maps