A new approach to urinary system dynamics problems: Evaluation and classification of uroflowmeter signals using artificial neural networks.
Semih AltunayZiya TelatarOsman ErogulEmin AydurPublished in: Expert Syst. Appl. (2009)
Keyphrases
- using artificial neural networks
- pattern recognition problems
- classification algorithm
- benchmark datasets
- classification accuracy
- feature space
- image classification
- np complete
- optimization problems
- feature vectors
- support vector
- decision trees
- decision rules
- automatic classification
- high dimensionality
- neural network model
- multi class
- signal processing
- classification scheme
- feature extraction
- classifier fusion
- pattern recognition tasks
- acoustic signals
- pattern classification
- data sets
- classification method
- class labels
- supervised learning
- artificial neural networks
- training set
- feature selection
- genetic algorithm
- neural network