Groundwater Level Prediction Using Artificial Neural Networks: A Case Study in Tra Noc Industrial Zone, Can Tho City, Vietnam

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ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.org/Journal/jwarp
E-mail: jwarp@scirp.org

"Groundwater Level Prediction Using Artificial Neural Networks: A Case Study in Tra Noc Industrial Zone, Can Tho City, Vietnam"
written by Tran Van Ty, Le Van Phat, Huynh Van Hiep,
published by Journal of Water Resource and Protection, Vol.10 No.9, 2018

has been cited by the following article(s):

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[2]	Artificial Neural Network Optimized with a Genetic Algorithm for Seasonal Groundwater Table Depth Prediction in Uttar Pradesh, India
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[3]	Fenomena Natural Resource Curse dalam Pembangunan Wilayah di Indonesia.
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[4]	On the evaluation of the gradient tree boosting model for groundwater level forecastinG
	2020

[5]	Groundwater level forecasting using soft computing techniques
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[5]	Artificial Neural Network Optimized with a Genetic Algorithm for Seasonal Groundwater Table Depth Prediction in Uttar Pradesh, India Sustainability, 2020 DOI:10.3390/su12218932

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