FCANN Method Applications for Knowledge Extraction From Previously Trained ANN.
Luis Enrique ZárateSérgio M. DiasMark A. J. SongPublished in: IJCNN (2007)
Keyphrases
- knowledge extraction
- detection method
- computational cost
- segmentation method
- preprocessing
- significant improvement
- dynamic programming
- experimental evaluation
- synthetic data
- knowledge discovery
- computational complexity
- neural network
- using artificial neural networks
- high precision
- radial basis function
- basis functions
- classification method
- training process
- detection algorithm
- support vector machine
- classification accuracy
- feature vectors
- association rules
- similarity measure
- machine learning