Predicting the eddy current loss of a large nuclear power turbo generator using a fuzzy c-means deep Gaussian process regression model.
Hai GuoYifan SongLikun WangJing-ying ZhaoFabrizio MarignettiPublished in: Appl. Soft Comput. (2022)
Keyphrases
- gaussian process
- regression model
- fuzzy c means
- eddy current
- gaussian processes
- fuzzy clustering
- clustering method
- model selection
- image segmentation
- clustering algorithm
- conditional distribution
- membership functions
- k means
- cluster analysis
- euclidean distance
- prior knowledge
- support vector
- logistic regression
- neural network
- markov random field
- probability distribution
- latent variables
- decision trees
- computer vision
- machine learning
- expert systems
- data mining