An active-learning probabilistic neural network for feasibility classification of constrained engineering optimization problems.
Dengjian FangTaotao ZhangFan WuPublished in: Eng. Comput. (2022)
Keyphrases
- probabilistic neural network
- pattern classification
- active learning
- optimization problems
- pattern recognition
- neural network
- classification accuracy
- self organizing maps
- feature extraction
- speaker identification
- decision trees
- text classification
- power quality disturbance
- metaheuristic
- supervised learning
- machine learning
- evolutionary algorithm
- feature vectors
- image classification
- unsupervised learning
- reinforcement learning
- particle swarm optimization algorithm
- extracted features
- data sets
- support vector machine
- artificial neural networks
- feature space
- support vector
- decision rules
- rbfnn
- clustering algorithm