A systematic review on machine learning algorithms used for forecasting lake-water level fluctuations.
S. R. Sannasi ChakravarthyN. BharanidharanHarikumar RajaguruPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- machine learning algorithms
- systematic review
- water level
- water quality
- flood control
- empirical studies
- control algorithm
- benchmark data sets
- predictive accuracy
- learning algorithm
- machine learning
- monitoring system
- decision trees
- short term
- machine learning methods
- learning problems
- learning tasks
- dissolved oxygen
- random forests
- machine learning approaches
- machine learning systems
- learning models
- standard machine learning algorithms
- measured data
- statistical machine learning
- machine learning models
- real time
- input features
- prediction model
- forecasting accuracy
- forecasting model
- control strategy
- active learning
- decision making
- real world