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Ferre Aracil, J.; Cardona, SC.; Navarro-Laboulais, J. (2015). Ozonation Kinetics of Acid Red 27 Azo Dye: A novel methodology based on artificial neural networks for the determination of dynamic kinetic constants in bubble column reactors. Chemical Engineering Communications. 202(3):279-293. https://doi.org/10.1080/00986445.2013.841146
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/71097
Título: | Ozonation Kinetics of Acid Red 27 Azo Dye: A novel methodology based on artificial neural networks for the determination of dynamic kinetic constants in bubble column reactors | |
Autor: | Ferre Aracil, Jesús | |
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A procedure for the determination of initial parameter values for quadratically convergent optimization methods is proposed using artificial neural networks coupled with a non-stationary gas-liquid reaction model. The ...[+]
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Versión del editor: | http://dx.doi.org/10.1080/00986445.2013.841146 | |
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