Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network.
Masaru TeranishiSigeru OmatuToshihisa KosakaPublished in: IJCNN (6) (2000)
Keyphrases
- neural network
- pattern recognition
- feature vectors
- learning vector quantization
- classification accuracy
- machine learning
- feature set
- classification scheme
- decision trees
- feature maps
- pattern representation
- feature subset
- supervised learning
- kohonen self organizing map
- multi layer perceptron
- pattern matching
- feature extraction
- feature space
- genetic algorithm
- fault diagnosis
- feature analysis
- classification algorithm
- classification method
- pattern classification
- hidden markov models
- feature ranking
- discriminative features
- feature values
- training set
- feature selection
- training data
- feature representation
- image classification
- training process
- self organizing maps
- svm classifier
- support vector machine
- model selection