Random forest, support vector machine, and neural networks to modelling suspended sediment in Tigris River-Baghdad
出版年份 2019 全文链接
标题
Random forest, support vector machine, and neural networks to modelling suspended sediment in Tigris River-Baghdad
作者
关键词
-
出版物
ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 191, Issue 11, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-10-26
DOI
10.1007/s10661-019-7821-5
参考文献
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- (2019) Nikolaos Efthimiou ENVIRONMENTAL MONITORING AND ASSESSMENT
- Performance assessment of artificial neural networks and support vector regression models for stream flow predictions
- (2018) Ateeq-ur-Rauf et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Application of random forest regression and comparison of its performance to multiple linear regression in modeling groundwater nitrate concentration at the African continent scale
- (2018) Issoufou Ouedraogo et al. HYDROGEOLOGY JOURNAL
- A comparative study of three different learning algorithms applied to ANFIS for predicting daily suspended sediment concentration
- (2017) Keivan Kaveh et al. International Journal of Sediment Research
- Modelling the root zone soil moisture using artificial neural networks, a case study
- (2016) Mustafa Al-Mukhtar Environmental Earth Sciences
- Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China
- (2016) B. Li et al. HYDROLOGY RESEARCH
- Evaluation of data driven models for river suspended sediment concentration modeling
- (2016) Mohammad Zounemat-Kermani et al. JOURNAL OF HYDROLOGY
- Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction
- (2016) Haitham Abdulmohsin Afan et al. JOURNAL OF HYDROLOGY
- Suspended Sediment Modeling Using Neuro-Fuzzy Embedded Fuzzy c-Means Clustering Technique
- (2016) Ozgur Kisi et al. WATER RESOURCES MANAGEMENT
- Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China
- (2016) B. Li et al. Hydrology Research
- A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States
- (2015) Ehsan Olyaie et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Daily and monthly suspended sediment load predictions using wavelet based artificial intelligence approaches
- (2015) Vahid Nourani et al. Journal of Mountain Science
- Quantile Regression-Based Probabilistic Estimation Scheme for Daily and Annual Suspended Sediment Loads
- (2015) Jenq-Tzong Shiau et al. WATER RESOURCES MANAGEMENT
- Statistical downscaling of climate impact indices: testing the direct approach
- (2014) A. Casanueva et al. CLIMATIC CHANGE
- Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
- (2014) Vahid Nourani et al. JOURNAL OF HYDROLOGY
- Assessing artificial neural networks and statistical methods for infilling missing soil moisture records
- (2014) Gift Dumedah et al. JOURNAL OF HYDROLOGY
- Forecasting performance of support vector machine for the Poyang Lake's water level
- (2014) Yingying Lan WATER SCIENCE AND TECHNOLOGY
- A comparative study of artificial neural networks, Bayesian neural networks and adaptive neuro-fuzzy inference system in groundwater level prediction
- (2013) Saumen Maiti et al. Environmental Earth Sciences
- Comparison of cokriging and adaptive neuro-fuzzy inference system models for suspended sediment load forecasting
- (2012) Mehdi Vafakhah Arabian Journal of Geosciences
- Daily suspended sediment load prediction using artificial neural networks and support vector machines
- (2012) E. Kakaei Lafdani et al. JOURNAL OF HYDROLOGY
- Climate change impacts in the Euphrates–Tigris Basin based on different model and scenario simulations
- (2012) Deniz Bozkurt et al. JOURNAL OF HYDROLOGY
- Integrated Water Resources Management under different hydrological, climatic and socio-economic conditions
- (2011) Edda Kalbus et al. Environmental Earth Sciences
- Artificial neural network modeling of the river water quality—A case study
- (2009) Kunwar P. Singh et al. ECOLOGICAL MODELLING
- Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models
- (2009) Taher Rajaee et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Estimation of daily suspended sediments using support vector machines
- (2008) MESUT ÇIMEN HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- An ANN application for water quality forecasting
- (2008) Sundarambal Palani et al. MARINE POLLUTION BULLETIN
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