Extracting Both MofN Rules and if-then Rules from the Training Neural Networks.
Norbert TsopzéEngelbert Mephu NguifoGilbert TindoPublished in: NeSy (2011)
Keyphrases
- rule extraction
- neural network
- rule sets
- training process
- trained neural networks
- training algorithm
- rough sets
- classification rules
- association rules
- multi layer perceptron
- feedforward neural networks
- black box
- neural network training
- radial basis function network
- error back propagation
- fuzzy logic
- feed forward neural networks
- fuzzy rules
- multi layer
- back propagation
- backpropagation algorithm
- fuzzy if then rules
- recurrent networks
- fuzzy inference system
- neural network structure
- feed forward
- data sets
- training set
- neural network model
- artificial neural networks
- rough set theory
- decision rules
- training examples
- rule base
- pattern recognition
- supervised learning
- training samples
- attribute values
- self organizing maps
- training phase
- production rules
- fuzzy systems
- training data
- feature selection
- continuous valued attributes