Integrating machine learning paradigms and mixed-integer model predictive control for irrigation scheduling.
Bernard T. AgyemanMohamed NaouriWillemijn AppelsJinfeng LiuSirish L. ShahPublished in: CoRR (2023)
Keyphrases
- mixed integer
- learning paradigms
- model predictive control
- predictive control
- control system
- soft computing
- convex hull
- linear program
- learning models
- feasible solution
- lot sizing
- inductive inference
- optimal solution
- machine learning
- scheduling problem
- learning algorithm
- power plant
- neural network
- continuous variables
- computational intelligence
- real time
- semi supervised learning
- text classification
- linear programming