A linear and non-linear polynomial neural network modeling of dissolved oxygen content in surface water: Inter- and extrapolation performance with inputs' significance analysis

Author:

Šiljić Tomić Aleksandra,Antanasijević DavorORCID,Ristić Mirjana,Perić-Grujić Aleksandra,Pocajt Viktor

Funder

Ministry of Education, Science and Technological Development of the Republic of Serbia

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference46 articles.

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3. The Development of Self-organization Techniques in Modelling: A Review of the Group Method of Data Handling (GMDH). Research Report. ACSE Research Report 813;Anastasakis,2001

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

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

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