A method of rice information extraction based on Particle Swarm Optimization SVM algorithm.
Yunfeng LiPeijun DuZhaohui XueLe GanXin WangHao LiangPublished in: ICMLC (2018)
Keyphrases
- support vector machine svm
- particle swarm optimization
- high accuracy
- computational cost
- dynamic programming
- computational complexity
- detection algorithm
- classification algorithm
- improved algorithm
- clustering method
- preprocessing
- hybrid algorithm
- computationally efficient
- classification method
- experimental evaluation
- segmentation method
- detection method
- particle swarm optimization algorithm
- cost function
- objective function
- significant improvement
- tree structure
- multi class classification
- machine learning
- support vector machine
- recognition algorithm
- k means
- segmentation algorithm
- similarity measure
- optimization method
- optimization algorithm
- matching algorithm
- learning algorithm
- optimal parameters
- convergence rate
- particle swarm
- information extraction
- training algorithm
- decision forest
- differential evolution
- training samples
- input data
- feature set
- probabilistic model
- multi objective
- pairwise
- energy function
- kernel function
- multi class
- feature extraction
- decomposition algorithm
- stochastic gradient descent
- genetic algorithm