Machine Learning-Based Wet Refractivity Prediction Through GNSS Troposphere Tomography for Ensemble Troposphere Conditions Forecasting.
Saeid Haji-AghajanyWitold RohmMaciej KryzaKamil SmolakPublished in: IEEE Trans. Geosci. Remote. Sens. (2024)
Keyphrases
- machine learning
- prediction model
- grey model
- prediction accuracy
- neural network
- financial time series
- predictive model
- neural network ensemble
- arima model
- feature selection
- learning algorithm
- ensemble methods
- predictive modeling
- stock market prediction
- prediction algorithm
- short term
- failure prediction
- exponential smoothing
- knowledge acquisition
- image reconstruction
- sufficient conditions
- computer vision
- ensemble learning
- forecasting accuracy
- protein secondary structure prediction
- machine learning algorithms
- decision trees
- natural language processing
- active learning
- pattern recognition
- ensemble classifier
- random forests
- load forecasting
- box jenkins
- random forest
- learning tasks
- machine learning methods
- training data
- supervised learning
- support vector machine
- mackey glass
- short term prediction
- navigation systems
- exchange rate
- multipath
- prediction error
- regression model
- model selection
- text classification
- text mining
- information extraction
- support vector
- artificial intelligence
- data mining