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Forecasting of groundwater level using artificial neural network by incorporating river recharge and river bank infiltration

Groundwater tables forecasting during implemented river bank infiltration (RBI) method is important to identify adequate storage of groundwater aquifer for water supply purposes. This study illustrates the development and application of artificial neural networks (ANNs) to predict groundwater ta...

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Bibliographic Details
Main Authors: Shamsuddin, Mohd Khairul Nizar, Mohd Kusin, Faradiella, Sulaiman, Wan Nor Azmin, Ramli, Mohammad Firuz, Tajul Baharuddin, Mohamad Faizal, Adnan, Mohd Shalahuddin
Format: Article
Language:English
Published: EDP Sciences 2017
Subjects:
TD419-428 Water pollution
TK7800-8360 Electronics
Online Access:http://eprints.uthm.edu.my/3409/1/AJ%202017%20%2835%29%20Forecasting%20of%20groundwater%20level.pdf
http://eprints.uthm.edu.my/3409/
https://doi.org/10.1051/matecconf/201710304007
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http://eprints.uthm.edu.my/3409/1/AJ%202017%20%2835%29%20Forecasting%20of%20groundwater%20level.pdf
http://eprints.uthm.edu.my/3409/
https://doi.org/10.1051/matecconf/201710304007

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