A Machine Learning-based Algorithm for Water Network Contamination Source Localization

In this paper, a novel machine learning based algorithm for water supply pollution source identification is presented built specifically for high performance parallel systems. The algorithm utilizes the combination of Artificial Neural Networks for classification of the pollution source with Random...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 20; číslo 9; s. 2613
Hlavní autoři:	Grbčić, Luka, Lučin, Ivana, Kranjčević, Lado, Družeta, Siniša
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 03.05.2020 MDPI
Témata:	Air pollution artificial neural networks Groundwater Hydraulics Identification Machine learning Neural networks Optimization algorithms parallel computing random forests Regression analysis sensor networks Sensors Simulation Support vector machines water network pollution Water quality Water shortages Water supply artificial neural networks random forests sensor networks water network pollution machine learning parallel computing
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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