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Hybrid modeling approach in chemistryPotočnik, Primož, 1969- ...A hybrid approach to modeling of chemical processes is proposed. The hybrid model consists of an analytical model and a neural network, connected in parallel. The purpose of a neural network is to ... improve the prediction accuracy in the domain where enough measured data exist. A radial basis function type neural network is applied for this task due to its local approximation property. A case study "Modeling of the liquid-phase methanol synthesis" is presented where an analytical and a hybrid model are constructed for the prediction of methanol production rate. Significant improvement in the prediction accuracy is demonstrated by using the hybrid modeling approach compared to the analytical one.Source: Proceedings. Vol. 10, Concepts and applications of systemics, cybernetics and informatics (Str. 607-612)Type of material - conference contributionPublish date - 2001Language - englishCOBISS.SI-ID - 4591131
Author
Potočnik, Primož, 1969- |
Grabec, Igor |
Šetinc, Marko |
Levec, Janez, 1943-2020
Topics
mreže nevronalne |
modeliranje hibridno |
sistemi nelinearni |
strukture |
sinteza metanola |
metode eksperimentalne |
hybrid modeling |
neural networks |
radial basis function network |
methanol synthesis
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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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Potočnik, Primož, 1969- | 15107 |
Grabec, Igor | 00800 |
Šetinc, Marko | 16347 |
Levec, Janez, 1943-2020 | 00849 |
Source: Personal bibliographies
and: SICRIS
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