Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records.
Paul FergusIbrahim Olatunji IdowuAbir Jaafar HussainChelsea DobbinsHaya Al-AskarPublished in: ICIC (3) (2014)
Keyphrases
- feature extraction
- artificial neural networks
- pattern classification
- feature vectors
- image classification
- pattern recognition
- feature space
- support vector machine svm
- feature selection
- support vector
- preprocessing
- feature extraction and classification
- image feature extraction
- classification systems
- automatic classification
- classification algorithm
- training set
- neural network
- classification accuracy
- dimension reduction
- principal component analysis
- feature set
- benchmark datasets
- classification method
- attribute values
- decision rules
- feature representation
- image processing
- extracted features
- multi layer perceptron
- linear discriminant analysis
- statistical pattern recognition
- database
- backpropagation neural network
- svm classifier
- model selection
- text classification
- supervised learning
- support vector machine
- high dimensional
- training data
- similarity measure
- decision trees
- learning algorithm
- databases
- data sets