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Application of Artificial Neural Networks to the Technical Condition Assessment of Water Supply Systems Cover

Application of Artificial Neural Networks to the Technical Condition Assessment of Water Supply Systems

Ecological Chemistry and Engineering S
Volume 24 (2017): Issue 1 (March 2017)
By: Kamil Kamiński,  Władysław Kamiński and  Tomasz Mizerski  
Open Access
|Apr 2017

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DOI: https://doi.org/10.1515/eces-2017-0003 | Journal eISSN: 2084-4549 | Journal ISSN: 1898-6196
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Language: English
Page range: 31 - 40
Published on: Apr 12, 2017
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
water supply system,
pipeline renovation,
multilayer perceptron
Related subjects:
Chemistry,
Sustainable and green chemistry,
Engineering,
Electrical engineering,
Energy engineering,
Life sciences,
Ecology

© 2017 Kamil Kamiński, Władysław Kamiński, Tomasz Mizerski, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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