A GWO-AFSA-SVM Model-Based Fault Pattern Recognition for the Power Equipment of Autonomous vessels.
Yifei YangXiaolin YuPublished in: INDIN (2020)
Keyphrases
- pattern recognition
- support vector machine svm
- support vector
- real time embedded systems
- fault diagnosis
- machine learning
- support vector machine
- neural network
- power consumption
- knn
- feature selection
- svm classifier
- learning machines
- pattern classification
- image analysis
- data sets
- computer vision
- fault detection
- image processing
- signal processing
- multi class
- feature extraction
- training data
- support vectors
- vessel segmentation
- cooperative
- classification method
- intracranial aneurysms
- blood vessels
- classification algorithm
- kernel function
- fuzzy sets
- dimensionality reduction
- hyperplane
- generalization ability
- kernel methods
- k nearest neighbor
- multi class svm
- multiple faults
- rough sets
- feature vectors