Artificial neural network ensemble modeling with exploratory factor analysis for streamflow forecasting
Journal of Hydroinformatics (2015) 17 (4): 614–639.
This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.
Streamflow forecasting by modeling the rainfall–streamflow relationship using artificial neural networks
- Shahzad Ali
- Muhammad Shahbaz
Modeling Earth Systems and Environment (2020) 6 (3): 1645.
- Gun Lee
- Dongkyun Kim
- Hyun-Han Kwon
- Eunsoo Choi
Advances in Meteorology (2019) 2019: 1.
- Stanislav Yamashkin
- Milan Radovanovic
- Anatoliy Yamashkin
- Darko Vukovic
Journal of Hydroinformatics (2018) 20 (4): 753.
Ensemble Decision Tree Models Using RUSBoost for Estimating Risk of Iron Failure in Drinking Water Distribution Systems
- S. R. Mounce
- K. Ellis
- J. M. Edwards
- V. L. Speight
- N. Jakomis
- J. B. Boxall
Water Resources Management (2017) 31 (5): 1575.
Forecasting monthly energy production of small hydropower plants in ungauged basins using grey model and improved seasonal index
- Chun-Tian Cheng
- Shu-Min Miao
- Bin Luo
- Yong-Jun Sun
Journal of Hydroinformatics (2017) 19 (6): 993.
Identification of indispensable components for a better drinking water quality management: Tunis case of study
- M. Hassen Baouab
- Semia Cherif
Journal of Hydroinformatics (2017) 19 (6): 942.
Forecast-based analysis for regional water supply and demand relationship by hybrid Markov chain models: a case study of Urumqi, China
- B. Wang
- L. Liu
- G. H. Huang
- W. Li
- Y. L. Xie
Journal of Hydroinformatics (2016) 18 (5): 905.
- Bing-Chen Jhong
- Jhih-Huang Wang
- Gwo-Fong Lin
Water Resources Management (2016) 30 (12): 4247.