Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea

Author:

Kim Sungwon,Alizamir Meysam,Zounemat-Kermani Mohammad,Kisi Ozgur,Singh Vijay P.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference59 articles.

1. Assessment of input data selection methods for BOD simulation using data-driven models: a case study;Ahmadi;Environ. Monit. Assess.,2018

2. Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River;Ahmed;J. King Saud Univ., Eng. Sci.,2017

3. A new hybrid artificial neural networks for rainfall–runoff process modeling;Asadi;Neurocomputing,2013

4. Modeling of dissolved oxygen concentration using different neural network techniques in Foundation Creek, El Paso County, Colorado;Ay;J. Environ. Eng.,2011

5. Random forests;Breiman;Mach. Learn.,2001

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