Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data
B Zhu, Y Feng, D Gong, S Jiang, L Zhao… - Computers and Electronics …, 2020 - Elsevier
Accurate prediction of reference evapotranspiration (ET o) is pivotal to the determination of
crop water requirement and irrigation scheduling in agriculture as well as water resources …
crop water requirement and irrigation scheduling in agriculture as well as water resources …
Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference crop evapotranspiration in different climatic regions of …
Z Wu, N Cui, X Hu, D Gong, Y Wang, Y Feng, S Jiang… - Journal of …, 2021 - Elsevier
Accurate prediction of reference crop evapotranspiration (ET 0) is important for regional
water resources management and optimal design of agricultural irrigation system. In this …
water resources management and optimal design of agricultural irrigation system. In this …
Extreme learning machine for reference crop evapotranspiration estimation: Model optimization and spatiotemporal assessment across different climates in China
D Gong, W Hao, L Gao, Y Feng, N Cui - Computers and Electronics in …, 2021 - Elsevier
Accurate estimation of reference crop evapotranspiration (ET o) is critical for quantifying crop
water requirements and irrigation schedule design. This study proposed two optimization …
water requirements and irrigation schedule design. This study proposed two optimization …
Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in …
Reliable and accurate prediction of reference evapotranspiration (ETo) is a precondition for
the efficient management and planning of agricultural water resources as well as the optimal …
the efficient management and planning of agricultural water resources as well as the optimal …
Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data
Accurate estimation of reference evapotranspiration (ET 0) is essential to agricultural water
management. The present study developed two artificial intelligence models for daily ET 0 …
management. The present study developed two artificial intelligence models for daily ET 0 …
A novel kernel extreme learning machine model coupled with K-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel …
Accurate and fast estimation of reference evapotranspiration (ET 0) is important in
determining crop water requirements, designing irrigation schedule, planning and managing …
determining crop water requirements, designing irrigation schedule, planning and managing …
Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates …
Accurate estimation of reference evapotranspiration (ET 0) is of great importance for the
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
Comparison of ELM, GANN, WNN and empirical models for estimating reference evapotranspiration in humid region of Southwest China
Y Feng, N Cui, L Zhao, X Hu, D Gong - Journal of Hydrology, 2016 - Elsevier
Reference evapotranspiration (ET 0) is an essential component in hydrological ecological
processes and agricultural water management. Accurate estimation of ET 0 is of importance …
processes and agricultural water management. Accurate estimation of ET 0 is of importance …
[HTML][HTML] Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction
Accurate estimation of pan evaporation (E p) is of great significance to the development of
agricultural irrigation systems and agricultural water resources management. The purpose of …
agricultural irrigation systems and agricultural water resources management. The purpose of …
Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine
Reference evapotranspiration (ET 0) is usually calculated as a pre-requisite to obtain the
actual evapotranspiration (ET). Estimation of ET 0 using extreme learning machine (ELM) is …
actual evapotranspiration (ET). Estimation of ET 0 using extreme learning machine (ELM) is …