An Adaptive Neuro-Fuzzy Inference System (ANFIS) of Radioactivity Levels in Hazar Lake

Journal Title: Cumhuriyet Science journal - Year 2018, Vol 39, Issue 2

Abstract

In this study, an Adaptive Neuro-Fuzzy Inference System (ANFIS) model is proposed for the determination of alpha radioactivity of Hazar Lake waters and for the prediction of its unknown values. The model parameters of the lake water are pH, total hardness (TH), depth, electrical conductivity (EC), and alpha radioactivity. ANFIS model is performed using the back-propagation algorithm, which has the five layers. Average relative error between measurements predicted by theoretical (ANFIS) and experimental data is approximately 0.7043%. The relative error between the test data and the radioactivity data change between 0.06% and 14%. Additionally, validity of the model is also tested with a regression model. The predicted results with the ANFIS model is better as statistically than the regression model.

Authors and Affiliations

Miraç KAMIŞLIOĞLU, Fatih KÜLAHCI

Keywords

Related Articles

Examination of Rheological Behavior of Water-Based Graphene Oxide Nanofluids

In this study, the rheological properties of nanofluids obtained by loading of Graphene oxide nanoparticles produced by the improved Hummers method into the deionized water base fluid in a mass fraction range of 0.1-1% w...

A New Spherical Catalyst For Hydrogen Evolution Reaction

CuFeZn composite catalysts have been prepared on the graphite electrode by electrochemical deposition as electrocatalytic materials for hydrogen evolution reaction (HER). The etching process was applied on catalysts in c...

The Investigation of the Effects of Chlorpyrifos and 2,4-Dichlorophenoxyacetic Acid Application on Bovine Liver Catalase Activity

In this study, it was investigated whether different concentrations of organophosphate insecticide chlorpyrifos (CPF) and systemic herbicide 2,4-dichlorophenoxyacetic acid (2,4-D)  on bovine liver catalase (CAT) activity...

Chitosan Based Edible Films Enriched with Black Cumin Oil for Potential Food Packaging Applications

In this study, chitosan based edible films were prepared by incorporation of black cumin oil. The resultant films were characterized in terms of their surface morphology and mechanical strength. The surface and cross-sec...

Linear And Nonlinear Intersubband Optical Absorptions In Multiple Quantum Wells Under The External Fields

In this study, the effects of the external fields (electric and tilted magnetic fields) and well parameters on the optical absorption coefficients in GaAs/GaAlAs multiple (five) quantum wells under the applied electric a...

Download PDF file
  • EP ID EP488349
  • DOI 10.17776/csj.360319
  • Views 63
  • Downloads 0

How To Cite

Miraç KAMIŞLIOĞLU, Fatih KÜLAHCI (2018). An Adaptive Neuro-Fuzzy Inference System (ANFIS) of Radioactivity Levels in Hazar Lake. Cumhuriyet Science journal, 39(2), 413-423. https://europub.co.uk/articles/-A-488349