Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River

Author:

Ahmed A.A. Masrur,Shah Syed Mustakim Ali

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters;Abyaneh;J. Environ. Health Sci. Eng.,2014

2. Ahmed, M., Ahmed, A.A.M., Mazumder, R.K., 2010. Deterioration of water quality of Surma River influenced by natural canals passing through Sylhet City of Bangladesh. In: Proceedings of Intl. Conf. on Env. Aspects of Bangladesh Sept. 4. pp. 182–185.

3. Water quality parameters along rivers;Alam;Int. J. Environ. Sci. Technol.,2007

4. Standard Methods for the Examination of Water and Wastewater;APHA-AWWA-WPCF,1989

5. Comparison of ANFIS and ANN for estimation of biochemical oxygen demand parameter in surface water;Areerachakul;Int. J. Chem. Biol. Eng.,2012

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