An expert system for predicting aeration performance of weirs by using ANFIS

Author:

Baylar Ahmet,Hanbay Davut,Ozpolat Emrah

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. Water allocation improvement in river basin using adaptive neural fuzzy reinforcement learning approach;Abolpour;Applied Soft Computing,2007

2. Artificial neural networks in hydrology;ASCE Task Committee on Application of Artificial Neural Networks in Hydrology;Journal of Hydrological Engineering, ASCE,2000

3. Two phase flows in chemical engineering;Azbel,1981

4. Baylar, A. (2002). Study on the effect of type selection of weir aerators on oxygen transfer. Ph.D. thesis, Firat University, Elazig, Turkey (in Turkish).

5. An investigation on the use of venturi weirs as an aerator;Baylar;Water Quality Research Journal of Canada,2003

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