The influence of feature vector on the classification of mechanical faults using neural networks.
Denys Pestana-VianaRafael Zambrano-LopezAmaro A. de LimaThiago de M. PregoSergio L. NettoEduardo A. B. da SilvaPublished in: LASCAS (2016)
Keyphrases
- feature vectors
- neural network
- feature extraction
- pattern recognition
- feature space
- feature set
- support vector machine
- fault diagnosis
- classification accuracy
- learning vector quantization
- svm classifier
- decision trees
- image features
- machine learning
- fuzzy logic
- preprocessing
- texture features
- support vector machine svm
- training set
- automatic classification
- self organizing maps
- feature selection
- image classification
- similarity measure
- back propagation
- training samples
- image processing
- supervised learning
- genetic algorithm
- training process
- pattern classification
- color and texture information
- rule extraction
- fault detection
- active learning
- feed forward
- classification rules
- machine learning methods
- support vector
- euclidean distance
- test cases