Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference crop evapotranspiration in different climatic regions of China
出版年份 2021 全文链接
标题
Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference crop evapotranspiration in different climatic regions of China
作者
关键词
Reference crop evapotranspiration (ET, 0, ), Extreme learning machine (ELM), Genetic Algorithm (GA), Artificial Bee Colony (ABC), Particle Swarm Optimization algorithm (PSO), Hybrid model
出版物
JOURNAL OF HYDROLOGY
Volume 603, Issue -, Pages 127028
出版商
Elsevier BV
发表日期
2021-10-08
DOI
10.1016/j.jhydrol.2021.127028
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Evaluation of bio-inspired optimization algorithms hybrid with artificial neural network for reference crop evapotranspiration estimation
- (2021) Lili Gao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Exploring a Long Short-Term Memory based Encoder-Decoder Framework for Multi-Step-Ahead Flood Forecasting
- (2020) I-Feng Kao et al. JOURNAL OF HYDROLOGY
- Stochastic simulation on reproducing long-term memory of hydroclimatological variables using deep learning model
- (2020) Taesam Lee et al. JOURNAL OF HYDROLOGY
- Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM – A new approach
- (2019) Lucas Borges Ferreira et al. JOURNAL OF HYDROLOGY
- Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China
- (2019) Junliang Fan et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Development of data-driven models for prediction of daily global horizontal irradiance in Northwest China
- (2019) Yu Feng et al. JOURNAL OF CLEANER PRODUCTION
- Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions
- (2019) Guomin Huang et al. JOURNAL OF HYDROLOGY
- Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data
- (2019) Junliang Fan et al. AGRICULTURAL WATER MANAGEMENT
- Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction
- (2019) Lifeng Wu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China
- (2019) Lifeng Wu et al. JOURNAL OF HYDROLOGY
- Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
- (2019) Quang-Thanh Bui et al. JOURNAL OF HYDROLOGY
- Machine learning models to quantify and map daily global solar radiation and photovoltaic power
- (2019) Yu Feng et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso
- (2018) Hai Tao et al. AGRICULTURAL WATER MANAGEMENT
- National-scale assessment of pan evaporation models across different climatic zones of China
- (2018) Yu Feng et al. JOURNAL OF HYDROLOGY
- Modeling Evapotranspiration Response to Climatic Forcings Using Data-Driven Techniques in Grassland Ecosystems
- (2018) Xianming Dou et al. Advances in Meteorology
- 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
- Improvement of Makkink model for reference evapotranspiration estimation using temperature data in Northwest China
- (2018) Qingwen Zhang et al. JOURNAL OF HYDROLOGY
- Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning
- (2018) Mandeep Kaur Saggi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China
- (2018) Junliang Fan et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Estimation of soil temperature from meteorological data using different machine learning models
- (2018) Yu Feng et al. GEODERMA
- Effects of water and fertilizer management on grain filling characteristics, grain weight and productivity of drip-fertigated winter wheat
- (2018) Shicheng Yan et al. AGRICULTURAL WATER MANAGEMENT
- Evaporation modelling using different machine learning techniques
- (2017) Lunche Wang et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Pan evaporation modeling using six different heuristic computing methods in different climates of China
- (2017) Lunche Wang et al. JOURNAL OF HYDROLOGY
- Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
- (2017) M. A. Ghorbani et al. THEORETICAL AND APPLIED CLIMATOLOGY
- 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
- A comparison of numerical and machine-learning modeling of soil water content with limited input data
- (2016) Fatemeh Karandish et al. JOURNAL OF HYDROLOGY
- Climate change effects on reference crop evapotranspiration across different climatic zones of China during 1956–2015
- (2016) Junliang Fan et al. JOURNAL OF HYDROLOGY
- 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
- Estimation of Reference Evapotranspiration Using Neural Networks and Cuckoo Search Algorithm
- (2016) Shahaboddin Shamshirband et al. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
- Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review
- (2016) Farzad Fahimi et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Estimation of Reference Evapotranspiration Using Neural Networks and Cuckoo Search Algorithm
- (2016) Shahaboddin Shamshirband et al. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
- 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
- Extreme Learning Machines: A new approach for prediction of reference evapotranspiration
- (2015) Shafika Sultan Abdullah et al. JOURNAL OF HYDROLOGY
- Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree
- (2015) Ozgur Kisi 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
- Improving Forecasting Accuracy of Streamflow Time Series Using Least Squares Support Vector Machine Coupled with Data-Preprocessing Techniques
- (2015) Aman Mohammad Kalteh WATER RESOURCES MANAGEMENT
- Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts
- (2014) Yufeng Luo et al. AGRICULTURAL WATER MANAGEMENT
- Data mining with various optimization methods
- (2014) Vladimir Nedic et al. EXPERT SYSTEMS WITH APPLICATIONS
- An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
- (2014) Guang-Bin Huang Cognitive Computation
- SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
- (2012) Hossein Tabari et al. JOURNAL OF HYDROLOGY
- Spatiotemporal characteristics of reference evapotranspiration during 1961–2009 and its projected changes during 2011–2099 on the Loess Plateau of China
- (2011) Zhi Li et al. AGRICULTURAL AND FOREST METEOROLOGY
- Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration
- (2010) Coskun Ozkan et al. IRRIGATION SCIENCE
- On the performance of artificial bee colony (ABC) algorithm
- (2007) D. Karaboga et al. APPLIED SOFT COMPUTING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started