Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs.
Jian-Bo YangKai Quan ShenChong Jin OngXiao Ping LiPublished in: IEEE Trans. Neural Networks (2009)
Keyphrases
- neural network
- feature selection
- multilayer perceptron
- multi layer perceptron
- back propagation
- artificial neural networks
- text categorization
- radial basis
- activation function
- neural network model
- multi class
- pattern recognition
- mutual information
- probabilistic model
- fault diagnosis
- mlp neural networks
- hidden neurons
- radial basis function
- machine learning
- text classification
- feature set
- support vector machine
- bayesian networks
- feature selection algorithms
- information gain
- modular neural network
- neural network is trained
- fuzzy artmap
- hidden nodes
- radial basis function network
- support vector
- recurrent neural networks
- feedforward neural networks
- generative model
- fuzzy logic
- high dimensionality
- genetic algorithm
- training data
- microarray data
- knn
- feed forward
- bp neural network
- feed forward neural networks
- feature space
- uncertain data
- training algorithm
- model selection
- neural nets