Machine learning: Overview of the recent progresses and implications for the process systems engineering field
Jay H. Lee(University of Southern California), Matthew J. Realff(Georgia Institute of Technology), Joohyun Shin
Cited by 383
Related Papers
Model predictive control: past, present and future
|Computers & Chemical Engineering|1999|2.3k
Model predictive control: Review of the three decades of development
|International Journal of Control Automation and Systems|2011|629
Cellulose crystallinity – a key predictor of the enzymatic hydrolysis rate
|FEBS Journal|2010|605
Constrained linear state estimation—a moving horizon approach
|Automatica|2001|585