A novel integrated method based on a machine learning model for estimating evapotranspiration in dryland
出版年份 2021 全文链接
标题
A novel integrated method based on a machine learning model for estimating evapotranspiration in dryland
作者
关键词
Evapotranspiration, Variational mode decomposition, Grey wolf optimizer algorithm, Support vector machine, Tengger Desert
出版物
JOURNAL OF HYDROLOGY
Volume 603, Issue -, Pages 126881
出版商
Elsevier BV
发表日期
2021-09-08
DOI
10.1016/j.jhydrol.2021.126881
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting
- (2020) Ganggang Zuo et al. JOURNAL OF HYDROLOGY
- Application and research for electricity price forecasting system based on multi-objective optimization and sub-models selection strategy
- (2020) Tonglin Fu et al. SOFT COMPUTING
- Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data
- (2020) Bin Zhu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Evaluation of seasonal evapotranspiration of winter wheat in humid region of East China using large-weighted lysimeter and three models
- (2020) Chunwei Liu et al. JOURNAL OF HYDROLOGY
- Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target
- (2020) Yunxuan Dong et al. ENERGY
- Improved prediction of daily pan evaporation using Deep-LSTM model
- (2019) Babita Majhi et al. NEURAL COMPUTING & APPLICATIONS
- A novel non-linear combination system for short-term wind speed forecast
- (2019) Jianzhou Wang et al. RENEWABLE ENERGY
- Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction
- (2019) Lifeng Wu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Hydrological response of biological soil crusts to global warming: A ten-year simulative study
- (2018) Xin-Rong Li et al. GLOBAL CHANGE BIOLOGY
- Daily Pan Evaporation Estimation Using Heuristic Methods with Gamma Test
- (2018) Anurag Malik et al. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
- Daily Pan Evaporation Estimation Using Heuristic Methods with Gamma Test
- (2018) Anurag Malik et al. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
- Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China
- (2018) Junliang Fan et al. AGRICULTURAL AND FOREST METEOROLOGY
- Application of ensemble empirical mode decomposition based on machine learning methodologies in forecasting monthly pan evaporation
- (2018) Mohammad Rezaie-Balf et al. HYDROLOGY RESEARCH
- Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system
- (2018) Xuejing Zhao et al. RENEWABLE ENERGY
- Wavelet coupled MARS and M5 Model Tree approaches for groundwater level forecasting
- (2017) Mohammad Rezaie-balf et al. JOURNAL OF HYDROLOGY
- Daily pan evaporation modeling in climatically contrasting zones with hybridization of wavelet transform and support vector machines
- (2017) Leeladhar Pammar et al. Paddy and Water Environment
- Deployment of artificial neural network for short-term forecasting of evapotranspiration using public weather forecast restricted messages
- (2016) Seydou Traore et al. AGRICULTURAL WATER MANAGEMENT
- Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine
- (2016) Milan Gocic et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Integrating genetic algorithm and support vector machine for modeling daily reference evapotranspiration in a semi-arid mountain area
- (2016) Zhenliang Yin et al. HYDROLOGY RESEARCH
- Comparison of ELM, GANN, WNN and empirical models for estimating reference evapotranspiration in humid region of Southwest China
- (2016) Yu Feng et al. JOURNAL OF HYDROLOGY
- Integrating genetic algorithm and support vector machine for modeling daily reference evapotranspiration in a semi-arid mountain area
- (2016) Zhenliang Yin et al. Hydrology Research
- Soft computing approaches for forecasting reference evapotranspiration
- (2015) Milan Gocić et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Extreme Learning Machines: A new approach for prediction of reference evapotranspiration
- (2015) Shafika Sultan Abdullah et al. JOURNAL OF HYDROLOGY
- Particle swarm optimization-based radial basis function network for estimation of reference evapotranspiration
- (2015) Dalibor Petković et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Support-Vector-Machine-Based Models for Modeling Daily Reference Evapotranspiration With Limited Climatic Data in Extreme Arid Regions
- (2015) Xiaohu Wen et al. WATER RESOURCES MANAGEMENT
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)
- (2011) Jalal Shiri et al. JOURNAL OF HYDROLOGY
- Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation
- (2008) S. K. Jain et al. HYDROLOGICAL PROCESSES
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