Rebello, C.M.; Marrocos, P.H.; Costa, E.A.; Santana, V.V.; Rodrigues, A.E.; Ribeiro, A.M.; Nogueira, I.B.R.
Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning. Processes 2022, 10, 250.
https://doi.org/10.3390/pr10020250
AMA Style
Rebello CM, Marrocos PH, Costa EA, Santana VV, Rodrigues AE, Ribeiro AM, Nogueira IBR.
Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning. Processes. 2022; 10(2):250.
https://doi.org/10.3390/pr10020250
Chicago/Turabian Style
Rebello, Carine M., Paulo H. Marrocos, Erbet A. Costa, Vinicius V. Santana, AlÃrio E. Rodrigues, Ana M. Ribeiro, and Idelfonso B. R. Nogueira.
2022. "Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning" Processes 10, no. 2: 250.
https://doi.org/10.3390/pr10020250
APA Style
Rebello, C. M., Marrocos, P. H., Costa, E. A., Santana, V. V., Rodrigues, A. E., Ribeiro, A. M., & Nogueira, I. B. R.
(2022). Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning. Processes, 10(2), 250.
https://doi.org/10.3390/pr10020250
