Reinforcement Learning for Improving the Accuracy of PM2.5 Pollution Forecast Under the Neural Network Framework.
Shuo-Wen ChangChung-Ling ChangLong-Tin LiShih-Wei LiaoPublished in: IEEE Access (2020)
Keyphrases
- neural network
- reinforcement learning
- neural network model
- main contribution
- computational cost
- short term load forecasting
- learning capabilities
- high accuracy
- artificial neural networks
- long term
- dynamic programming
- mobile robot
- active learning
- fuzzy logic
- supervised learning
- training set
- prediction accuracy
- decision trees
- bp neural network
- predictive model
- learning algorithm
- genetic algorithm