Finding the input features that reduce the entropy of a neural network's prediction.
Narbota AmanovaJörg MartinClemens ElsterPublished in: Appl. Intell. (2024)
Keyphrases
- input features
- neural network
- activation function
- prediction model
- artificial neural networks
- prediction accuracy
- machine learning algorithms
- feature selection
- classification algorithm
- multi layer perceptron
- support vector machine
- feature values
- back propagation
- class labels
- neural nets
- multilayer perceptron
- neural network model
- hidden layer
- fault diagnosis
- mutual information
- feed forward
- information content
- bp neural network
- labeled examples
- fuzzy logic
- data sets
- genetic algorithm
- radial basis function
- missing data
- fuzzy neural network
- genetic programming
- selected features