Comparative use of artificial neural networks for the quality assessment of the water reservoirs of Athens | Journal of Water Supply: Research and Technology-Aqua | IWA Publishing

Skip to Main Content

Comparative use of artificial neural networks for the quality assessment of the water reservoirs of Athens

Journal of Water Supply: Research and Technology-Aqua (2013) 62 (5): 296-308.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

Groundwater quality evaluation using a classification model: a case study of Jilin City, China

Baizhong Yan
Furong Yu
Xiao Xiao
Xinzhou Wang

Natural Hazards (2019)

Spatial analysis of groundwater quality using self-organizing maps

Lazhar Belkhiri
Lotfi Mouni
Ammar Tiri
Tahoora Sheikhy Narany
Razki Nouibet

Groundwater for Sustainable Development (2018) 7: 121.

Artificial neural networks: applications in the drinking water sector

G. O'Reilly
C.C. Bezuidenhout
J.J. Bezuidenhout

Water Science and Technology: Water Supply ws2018016.

Profiles and Risk Assessment of Heavy Metals in Great Rift Lakes, Kenya

Yuyi Yang
Liangfu Wei
Lili Cui
Miaomiao Zhang
Jun Wang

CLEAN - Soil, Air, Water (2017) 45 (3): 1600825.

Exploratory analysis of biodiesel/diesel blends by Kohonen neural networks and infrared spectroscopy

Carlos Eduardo Cardoso Galhardo
Werickson Fortunato de Carvalho Rocha

Analytical Methods (2015) 7 (8): 3512.

Application of the Artificial Neural Network and Neuro-fuzzy System for Assessment of Groundwater Quality

Mahmoud Khaki
Ismail Yusoff
Nur Islami

CLEAN - Soil, Air, Water (2015) 43 (4): 551.

Assessment of the water quality of Kłodnica River catchment using self-organizing maps

Ewa Olkowska
Błażej Kudłak
Stefan Tsakovski
Marek Ruman
Vasil Simeonov
Zaneta Polkowska

Science of The Total Environment (2014) 476-477: 477.