A Hybrid Model Integrating Improved Fuzzy c-means and Optimized Mixed Kernel Relevance Vector Machine for Classification of Coal and Gas Outbursts.
Xuning LiuZixian ZhangGenshan ZhangGuoying ZhangPublished in: Neural Process. Lett. (2022)
Keyphrases
- hybrid model
- fuzzy c means
- relevance vector machine
- mercer kernel
- support vector machine
- support vector machine svm
- fuzzy clustering
- gaussian processes
- support vector regression
- support vector
- nonlinear regression
- clustering method
- clustering algorithm
- bayesian learning
- image segmentation
- feature space
- artificial neural networks
- kernel methods
- genetic algorithm
- classification accuracy
- k means
- machine learning
- pattern recognition
- text classification
- kernel function
- training set
- cross validation
- feature vectors
- decision trees
- image processing
- feature selection
- euclidean distance
- feature set