A case study of using artificial neural networks to predict heavy metal pollution in Lake Iznik

Author:

Mert Berna Kırıl,Kasapoğulları Deniz

Publisher

Springer Science and Business Media LLC

Reference99 articles.

1. Abbas, S. H., Khudair, B. H., & Jaafar, M. H. (2019). Water quality assessment and total dissolved solids prediction for Tigris river in Baghdad city using mathematical models. Journal of Engineering Science and Technology, 14(6), 3337–3346.

2. Agah, A., & Soleimanpourmoghadam, N. (2020). Design and implementation of heavy metal prediction in acid mine drainage using multi-output adaptive neuro-fuzzy inference systems (ANFIS) - A case study. International Journal of Mining and Geo-Engineering, 54–1, 59–64. https://doi.org/10.22059/IJMGE.2019.278558.594794

3. Akbulak, C. (2006). İznik Gölü Depresyonunun Beşeri ve İktisadi Coğrafya Açısından İncelenmesi İstanbul Üniversitesi. Coğrafya Anabilim Dalı, Doktora Tezi, İstanbul: Sosyal Bilimler Enstitüsü.

4. Akıner, M. E., & Akıner, İ. (2021). Water quality analysis of drinking water resource lake Sapanca and suggestions for the solution of the pollution problem in the context of sustainable environment approach. Sustainability, 13(7), 3917. https://doi.org/10.3390/su13073917

5. Akkoyunlu, A. (2003). Evaluation of eutrophication process in Lake Iznik. Fresenius Environmental Bulletin, 12(7), 801–807.

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