has been cited by the following article(s):
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[1]
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Deriving groundwater major ions from electrical conductivity using artificial neural networks supported by analytical hydrochemical solutions
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Groundwater for Sustainable …,
2024 |
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[2]
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IMPLEMENTASI JARINGAN SARAF TIRUAN DALAM PERAMALAN TINGKAT SUKU BUNGA BANK DENGAN METODE BACKPROPAGATION
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Simtika,
2023 |
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[3]
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Prediction Of Pan Evaporation Of Parbhani District Of Maharashtra By Using Artificial Neural Network
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Ilkogretim …,
2021 |
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[4]
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Prediction of Dissolved Oxygen Content in Aquaculture Based on Clustering and Improved ELM
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2021 |
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[5]
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Groundwater quality forecasting modelling using artificial intelligence: A review
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Groundwater for …,
2021 |
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[6]
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Developing a pH model using Artificial Neural Network and visual MODFLOW to evaluate groundwater quality.
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Applied Ecology & …,
2020 |
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[7]
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Prediction of TDS in groundwater by using BP-NN modeling.
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2019 |
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[8]
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An Assessment of Drinking Water Quality in Cauvery Delta Region and Palar Region, Tamil Nadu
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2017 |
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[9]
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Classifying ground water quality using data mining technique for Thanjavur district, Tamilnadu, India
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Journal of Chemical and Pharmaceutical Research,
2015 |
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[10]
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Groundwater quality assessment using artificial neural network: A case study of Bahabad plain, Yazd, Iran
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Desert,
2015 |
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[1]
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Deriving groundwater major ions from electrical conductivity using artificial neural networks supported by analytical hydrochemical solutions
Groundwater for Sustainable Development,
2024
DOI:10.1016/j.gsd.2023.101056
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[2]
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Prediction of Dissolved Oxygen Content in Aquaculture Based on Clustering and Improved ELM
IEEE Access,
2021
DOI:10.1109/ACCESS.2021.3064029
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[3]
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Groundwater quality forecasting modelling using artificial intelligence: A review
Groundwater for Sustainable Development,
2021
DOI:10.1016/j.gsd.2021.100643
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[4]
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Prediction of TDS in groundwater by using BP-NN modeling
INTERNATIONAL JOURNAL OF AGRICULTURAL ENGINEERING,
2019
DOI:10.15740/HAS/IJAE/12.1/10-17
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