Weighted ANN Input Layer for Adaptive Features Selection for Robust Fault Classification.
Muhammad AmarIqbal GondalCampbell WilsonPublished in: ICONIP (2) (2015)
Keyphrases
- feature vectors
- classification accuracy
- rotational invariant
- feature set
- classification method
- feature extraction
- feature space
- classification models
- input features
- extracted features
- feature selection
- artificial neural networks
- benchmark datasets
- classification process
- highly discriminative
- machine learning
- high dimensionality
- decision trees
- discriminative features
- feature selection algorithms
- gender classification
- feature subset
- svm classifier
- feature values
- class labels
- feature reduction
- fault diagnosis
- support vector machine svm
- extracting features
- support vector machine
- k nearest neighbour
- image features
- selected features
- text classification
- eeg signals
- machine learning algorithms
- pattern recognition
- classification algorithm
- training set
- feature weights
- restricted boltzmann machine
- feature analysis
- multi layer perceptron
- supervised learning
- input variables
- training samples
- multi layer
- gabor filters
- neural network model
- false positives
- keypoints