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Browsing Çevre Mühendisliği / Environmental Engineering by Author

Browsing Çevre Mühendisliği / Environmental Engineering by Author "Eren, Beytullah"

Now showing items 1-8 of 8

A comparative study of artificial neural network models for the prediction of Cd removal efficiency of polymer inclusion membranes

Eren, Beytullah; Muhammad Yaqub; Eyüpoğlu, Volkan (DESALINATION PUBL, 2019)

In this study, three different artificial neural network (ANN) including feed forward back-propagation (FFBPNN), recurrent neural network (RNN), and generalized regression neural network (GRNN) were proposed to estimate ...
Application of Artificial Neural Networks to Estimate Wastewater Treatment Plant Inlet Biochemical Oxygen Demand

Doğan, Emrah; Ateş, Asude; Eren, Beytullah (WILEY, 2008)

Biochemical oxygen demand (BOD) has been shown to be an important variable in water quality management and planning. However, BOD is difficult to measure and needs longer time periods (5 days) to get results. Artificial ...
Development of artificial neural network for prediction of salt recovery by nanofiltration from textile industry wastewaters

Eren, Beytullah; İleri, Recep; Doğan, Emrah; Çağlar, Naci (TAYLOR & FRANCIS INC, 2012)

This paper presents the use of artificial neural network (ANN) to develop a model for predicting rejection rate (R-o) of single salt (NaCl) by nanofiltration based on experimental datasets. The rejection rates of NaCl were ...
Heavy metal profiles of agricultural soils in Sakarya, Turkey

Mehmet Iseyen; Aysegul Akpinar; Eren, Beytullah; Gulsun Ok (KOREAN SOC ENVIRONMENTAL ENGINEERS, 2019)

Sakarya is famous for cucurbit productions in Turkey and cucurbits can grow as big as 560 kg of weight per fruit in its agricultural areas. There is no or limited information about contaminant levels and profiles of the ...
IRRIGATION OPTIMIZATION BY THE USE OF FUZZY LOGIC TECHNOLOGY

Hussein Bizimana; Muhammad Yaqub; Sönmez, Osman; Eren, Beytullah; Fatma Demir (PARLAR SCIENTIFIC PUBLICATIONS (P S P), 2016)

The aim of this study was to develop a Fuzzy Inference System (FIS) to optimize the water requirements as per standards for irrigation purposes. There are three major inputs in FIS including water quality, field capacity ...
Physical Disintegration of Toilet Papers in Wastewater Systems: Experimental Analysis and Mathematical Modeling

Eren, Beytullah; Karadağlı, Fatih (AMER CHEMICAL SOC, 2012)

Physical disintegration of representative toilet papers was investigated in this study to assess their disintegration potential in sewer systems. Characterization of toilet papers from different parts of the world indicated ...
PREDICTION OF ADSORPTION EFFICIENCY FOR THE REMOVAL OF NICKEL (II) IONS BY ZEOLITE USING ARTIFICIAL NEURAL NETWORK (ANN) APPROACH

Eren, Beytullah; Ateş, Asude (PARLAR SCIENTIFIC PUBLICATIONS (P S P), 2011)

This paper presents the development of an artificial neural network (ANN) model for the prediction of the adsorption efficiency (AE %) of nickel (II) ions from aqueous solution by zeolite based on 120 experimental data ...
Prediction of Ionic Cr (VI) Extraction Efficiency in Flat Sheet Supported Liquid Membrane Using Artificial Neural Networks (ANNs)

Eyüpoğlu, Volkan; Eren, Beytullah; Doğan, Emrah (UNIV TEHRAN, 2010)

Artificial neural networks (ANNs) are computer techniques that attempt to simulate the functionality and decision-making processes of the human brain. In the past few decades, artificial neural networks (ANNs) have been ...