dc.contributor.author | ANTON, Costel | |
dc.contributor.author | LISA, Cătălin | |
dc.contributor.author | CURTEANU, Silvia | |
dc.date.accessioned | 2022-08-12T05:36:30Z | |
dc.date.available | 2022-08-12T05:36:30Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | ANTON, Costel, LISA, Cătălin, CURTEANU, Silvia. Modeling of brick obtaining proces with artificial neural networks. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = Technical Scientific Conference of Undergraduate, Master and PhD Students, Universitatea Tehnică a Moldovei, 29-31 martie 2022. Chișinău, 2022, vol. 1, pp. 168-171. ISBN 978-9975-45-828-3. ISBN 978-9975-45-829-0 (Vol.1). | en_US |
dc.identifier.isbn | 978-9975-45-828-3 | |
dc.identifier.isbn | 978-9975-45-829-0 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/20704 | |
dc.description.abstract | In this study, neural network models were developed to predict the amount of NO discharged into the furnace chimney of a brick factory. The best performances were obtained with the MLP (6:18:6:1) model. Thus, in the training stage, the correlation coefficient was 0.9626 and the standard deviation was ± 5.61 mg/m3 and in the validation phase, a standard deviation of ± 15.24 mg/m3 is obtained. The advantages of this study derive from the important savings of time, materials and energy obtained by reducing the number of test loads in the analyzed industrial process. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universitatea Tehnică a Moldovei | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | neural networks | en_US |
dc.subject | brick factory | en_US |
dc.title | Modeling of brick obtaining proces with artificial neural networks | en_US |
dc.type | Article | en_US |
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