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Machine learning-based dynamic modeling for process engineering applications [Elektronski vir] : a guideline for simulation and prediction from perceptron to deep learningRebello, Carine M. ...Source: Processes [Elektronski vir]. - ISSN 2227-9717 (Vol. 10, iss. 2, [article no.] 250, Feb. 2022, str. 1-18)Type of material - e-article ; adult, seriousPublish date - 2022Language - englishCOBISS.SI-ID - 235167235
Author
Rebello, Carine M. |
Marrocos, Paulo H. |
Costa, Erbet A. |
Santana, Vinicius V. |
Rodrigues, Alírio E. |
Ribeiro, Ana M. |
Nogueira, Idelfonso B. R.
Topics
globoko učenje |
dinamično modeliranje |
strojno učenje |
adsorpcija s tlačnim nihanjem |
deep learning |
dynamic modeling |
machine learning |
pressure swing adsorption
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| Database name | Field | Year |
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| Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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| Rebello, Carine M. | ![]() |
| Marrocos, Paulo H. | ![]() |
| Costa, Erbet A. | ![]() |
| Santana, Vinicius V. | ![]() |
| Rodrigues, Alírio E. | ![]() |
| Ribeiro, Ana M. | ![]() |
| Nogueira, Idelfonso B. R. | 60422 |
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