Abstract
Modeling of an absorption column performance using feed-forward type of neural network has been presented. The input and output data for training of the neural network are obtained from a rigorous model of the absorption column. The results obtained from the neural network models are then compared with the results obtained mainly from the simulation calculations. The results show that relatively simple neural network models can be used to model the steady state behavior of the column.
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References
Wilk, M., Kozłowski, K., Nieścioruk, J.: New Projects of Nitric Acid Industry. Przemysł Chemiczny 67(10), 464–465 (1988) (in Polish)
Kozłowski, K., Nieścioruk, J., Kowalik, J., Ochał, A.: A New Nitric Acid Plant 5.4/12.4 bar, 600 t HNO3/d in Zakłady Azotowe “Kedzierzyn” S.A. Pr. Nauk. Inst. Techn. Nieorg. i Naw. Min. Pol. Wroc. 43(25), 70–76 (1995) (in Polish)
Rój, E., Wilk, M.: Simulation of an Absorption Column Performance Using Feed-forward Neural Networks in Nitric Acid Production. Computers Chem. Engng. 22, 909–912 (1998)
Rój, E., Wilk, M.: Simulation of the sieve plate absorption column for nitric acid absorption process using neural networks. In: International Conference on Distillation and Absorption, Baden-Baden, Germany (2002)
Bhat, N., McAvoy, J.: Use of Neural Nets for Dynamic Modeling and Control of Chemical Process Systems. Computers Chem. Engng. 14(4/5), 573–583 (1990)
Leonard, J., Kramer, M.A.: Improvement of the Backpropagation Algorithm for Training Neural Networks. Comput. Chem. Eng. 14(3), 337–341 (1990)
Rummelhart, D.E., McClelland, J.L.: Parallel Distributed Processing, pp. 319–330. The MIT Press, Cambridge (1988)
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Rój, E., Wilk, M. (2004). Neural Network Based Simulation of the Sieve Plate Absorption Column in Nitric Acid Industry. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_185
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DOI: https://doi.org/10.1007/978-3-540-24844-6_185
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