A Combined Clustering and Neural Network Approach for Analog Multiple Hard Fault Classification.
M. A. El-GamalMohamed Fathy Abu El-YazeedPublished in: J. Electron. Test. (1999)
Keyphrases
- neural network
- pattern recognition
- kohonen self organizing map
- self organizing maps
- learning vector quantization
- clustering algorithm
- fault diagnosis
- unsupervised clustering
- unsupervised learning
- decision trees
- unsupervised classification
- supervised classification
- classification scheme
- clustering method
- supervised learning
- data clustering
- classification algorithm
- classification accuracy
- k means
- clustering analysis
- high dimensionality
- spectral clustering
- pattern classification
- combining multiple
- classification method
- text classification
- machine learning
- feature selection
- feature space
- feature vectors
- back propagation
- data points
- correspondence analysis
- probabilistic neural network
- support vector
- training set
- fault detection
- density estimation
- signal processing
- fuzzy clustering
- feature extraction
- support vector machine
- simultaneous clustering
- hierarchical clustering
- analog circuits
- genetic algorithm
- image classification
- clustering ensemble
- classification models
- nearest neighbour
- multi layer perceptron
- classification rules
- bp neural network
- artificial neural networks
- categorical data