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Application of Artificial Neural Networks in the Dimensioning of Retention Reservoirs Cover

Application of Artificial Neural Networks in the Dimensioning of Retention Reservoirs

Ecological Chemistry and Engineering S
Volume 25 (2018): Issue 4 (December 2018)
By: Kamil Błażej Pochwat and  Daniel Słyś  
Open Access
|Jan 2019

Authors

Kamil Błażej Pochwat

kp@prz.edu.pl

Department of Infrastructure and Sustainable Development, Faculty of Civil and Environmental Engineering and Architecture, Rzeszow University of Technology, Rzeszów, Poland

Daniel Słyś

daniels@prz.edu.pl

Department of Infrastructure and Sustainable Development, Faculty of Civil and Environmental Engineering and Architecture, Rzeszow University of Technology, Rzeszów, Poland
DOI: https://doi.org/10.1515/eces-2018-0040 | Journal eISSN: 2084-4549 | Journal ISSN: 1898-6196
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Language: English
Page range: 605 - 617
Published on: Jan 3, 2019
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
retention reservoir,
critical rainfall,
rainfall distribution,
retention reservoir dimensioning
Related subjects:
Chemistry,
Sustainable and green chemistry,
Engineering,
Electrical engineering,
Energy engineering,
Life sciences,
Ecology

© 2019 Kamil Błażej Pochwat, Daniel Słyś, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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