Active learning using a self-correcting neural network (ALSCN).
Velibor IlicJovan TadicPublished in: Appl. Intell. (2022)
Keyphrases
- active learning
- neural network
- random sampling
- back propagation
- artificial neural networks
- learning strategies
- pattern recognition
- self organizing maps
- selective sampling
- semi supervised learning
- machine learning
- data mining
- bp neural network
- feedforward neural networks
- neural network model
- data sets
- neural network is trained
- semi supervised
- learning algorithm
- training set
- supervised learning
- relevance feedback
- fault diagnosis
- fuzzy logic
- experimental design
- feed forward neural networks
- neural model
- learning process
- neural nets
- activation function
- training data
- hopfield neural network
- music emotion classification
- multi layer perceptron
- fuzzy neural network
- cost sensitive
- recurrent neural networks
- transfer learning
- training examples
- labeled data
- genetic algorithm