Estimation of dissolved oxygen in riverine ecosystems: Comparison of differently optimized neural networks-Reference-Cited by-同舟云学术

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Estimation of dissolved oxygen in riverine ecosystems: Comparison of differently optimized neural networks

Published:2019-11 Issue: Volume:138 Page:298-309
ISSN:0925-8574
Container-title:Ecological Engineering
language:en
Short-container-title:Ecological Engineering

Author:

Csábrági Anita,Molnár Sándor,Tanos Péter,Kovács József,Molnár Márk,Szabó István,Hatvani István Gábor

Funder

Szent István University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Environmental Engineering

Reference65 articles.

1. Phytoplankton functional groups as indicators of human impacts along the River Loire (France);Abonyi;Hydrobiologia,2012

2. Depth-integrated estimation of dissolved oxygen in a lake;Akkoyunlu;J. Environ. Eng.,2011

3. Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study;Antanasijević;Environ. Sci. Pollut. Res.,2013

4. Modelling of dissolved oxygen in the Danube River using artificial neural networks and Monte Carlo Simulation uncertainty analysis;Antanasijević;J. Hydrol.,2014

5. Standard Methods for the Examination of Water and Wastewater;APHA,1998

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