Investigation of Mel Frequency Cepstrum Coefficients parameters for classification of infant cries with hypothyroidism using MLP classifier.
Azlee ZabidiWahidah MansorLee Yoot KhuanIhsan Mohd YassinRohilah SahakPublished in: IJCNN (2010)
Keyphrases
- multi layer perceptron
- classification scheme
- classification process
- classification method
- classification algorithm
- support vector
- classification rate
- decision trees
- support vector machine
- feature selection
- feature space
- neural network
- class labels
- nearest neighbor classifier
- k nearest neighbour
- classifier combination
- radial basis function network
- neyman pearson
- probabilistic classifiers
- classification models
- individual classifiers
- learning vector quantization
- training set
- feature set
- learning phase
- neural classifier
- feature vectors
- classification accuracy
- training samples
- highest accuracy
- pattern recognition
- decision boundary
- final classification
- binary classifiers
- support vector machine svm
- pattern classification
- svm classifier
- fuzzy classifier
- multi category
- layer perceptron
- multiple classifiers
- training process
- higher classification accuracy
- mlp neural networks
- multiclass classification
- ensemble classifier
- radial basis function
- feature extraction
- knn
- learning algorithm
- multilayer perceptron
- linear combination
- fuzzy classification
- image classification
- training data
- artificial neural networks
- machine learning
- generalized gaussian density
- bayes rule
- multi class
- model selection
- cost sensitive
- roc curve
- bayesian classifier