Modeling chemical processes using prior knowledge and neural networks ML Thompson, MA Kramer AIChE Journal 40 (8), 1328-1340, 1994 | 816 | 1994 |
Spanning the flow regimes: Generic fluidized‐bed reactor model IA Abba, JR Grace, HT Bi, ML Thompson AIChE Journal 49 (7), 1838-1848, 2003 | 108 | 2003 |
A generalized bubbling/turbulent fluidized-bed reactor model ML Thompson, H Bi, JR Grace Chemical Engineering Science 54 (13-14), 2175-2185, 1999 | 80 | 1999 |
Embedding theoretical models in neural networks MA Kramer, ML Thompson, PM Bhagat 1992 American Control Conference, 475-479, 1992 | 64 | 1992 |
Fluidized bed catalytic reactor modeling across the flow regimes JR Grace, IA Abba, H Bi, ML Thompson The Canadian Journal of Chemical Engineering 77 (2), 305-311, 1999 | 22 | 1999 |
Optimal product design by sequential experiments in high dimensions M Joo, ML Thompson, GM Allenby Management Science 65 (7), 3235-3254, 2019 | 16 | 2019 |
A hybrid modeling methodology to combine prior knowledge and neural networks ML Thompson, MA Kramer Proceedings of 1993 International Conference on Neural Networks (IJCNN-93 …, 1993 | 6 | 1993 |
System analysis, simulation, control, and optimization of the fed-batch penicillin fermentation ML Thompson Massachusetts Institute of Technology, Department of Chemical Engineering, 1984 | 5 | 1984 |
Combining prior knowledge and nonparametric models of chemical processes ML Thompson Massachusetts Institute of Technology, 1996 | 4 | 1996 |
Using Bayesian analysis to refine the measurement of the innovative capacities of engineers DM Ferguson, DD Navin, ML Thompson, AD Phillips, MW Ohland, ... 2018 IEEE frontiers in education conference (FIE), 1-4, 2018 | 1 | 2018 |