Prediction of Unmanned Surface Vessel Motion Attitude Based on CEEMDAN-PSO-SVM.
Zhuoya GengJianmei ChenWanqiang ZhuPublished in: CoRR (2024)
Keyphrases
- support vector machine svm
- prediction accuracy
- recovering shape
- irregularly spaced
- particle swarm optimization
- particle swarm optimization pso
- support vector
- motion prediction
- particle swarm optimizer
- space time
- knn
- optical flow
- motion analysis
- multi class
- three dimensional
- particle swarm optimization algorithm
- image sequences
- minimal path
- visual motion
- pso algorithm
- deformable surface
- attitudes toward
- human motion
- support vector machine
- feature selection
- stability margin
- image measurements
- optimal parameters
- blood vessels
- prediction model
- motion estimation
- motion model
- bp neural network
- motion field
- global optimization
- training set
- camera motion
- candidate pruning
- svm classifier
- prediction error
- cross section
- multi objective
- underwater vehicles
- kernel function