Water vapor content prediction based on neural network model selection and optimal fusion.
Xinyu ZhangYunjun ZhouWenyu ZhangMenggang KouBingyan LiYing DaiChenglin YangPublished in: J. Comput. Sci. (2024)
Keyphrases
- model selection
- neural network
- prediction model
- cross validation
- regression model
- relative humidity
- parameter estimation
- hyperparameters
- meteorological data
- sample size
- bayesian model selection
- bayesian learning
- machine learning
- mixture model
- model selection criteria
- generalization error
- motion segmentation
- selection criterion
- statistical learning
- variable selection
- gaussian process
- statistical inference
- error estimation
- information criterion
- multi layer perceptron
- automatic model selection
- artificial neural networks
- marginal likelihood
- closed form
- subspace information criterion
- feature selection
- parameter determination
- solar radiation
- worst case
- leave one out cross validation
- bayesian information criterion
- bp neural network