A Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and Machine-Learning Methods.
Pouya AghelpourBabak MohammadiSeyed Mostafa BiazarÖzgür KisiZohreh SourmirinezhadPublished in: ISPRS Int. J. Geo Inf. (2020)
Keyphrases
- machine learning methods
- machine learning
- information theory
- theoretical basis
- machine learning algorithms
- machine learning approaches
- ensemble methods
- decision support system
- information theoretic
- complexity theory
- theoretical models
- short term
- learning algorithm
- support vector regression
- management system
- general theory
- theoretical framework
- decision making
- exchange rate
- neural network
- forecasting model
- learned knowledge
- forecasting accuracy