Modelling and optimization of \(\mathrm{CO}_{2}\) absorption in pneumatic contactors using artificial neural networks developed with clonal selection-based algorithm
DOI10.1515/IJNSNS-2014-0052zbMath1401.92212OpenAlexW2335196923MaRDI QIDQ1657297
Petronela Cozma, Ioan Mămăligă, Walter Wukovits, Anton Friedl, Maria Gavrilescu, Elena Niculina Drăgoi, Silvia Curteanu
Publication date: 13 August 2018
Published in: International Journal of Nonlinear Sciences and Numerical Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/ijnsns-2014-0052
artificial neural networkclonal selectionback-propagation algorithmairlift contactorcarbon dioxide absorption
Classical flows, reactions, etc. in chemistry (92E20) Neural networks for/in biological studies, artificial life and related topics (92B20) Ecology (92D40) Computational methods for problems pertaining to biology (92-08)
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