Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine

Published:2021-01 Issue: Volume:243 Page:106447
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Chia Min Yan,Huang Yuk Feng,Koo Chai Hoon

Funder

Universiti Tunku Abdul Rahman Research Fund

Universiti Tunku Abdul Rahman Research

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference41 articles.

1. Extreme Learning Machines: a new approach for prediction of reference evapotranspiration;Abdullah;J. Hydrol.,2015

2. Crop Evapotranspiration - Guidelines for Computing Crop Water Requirements - FAO Irrigation and Drainage Paper 56;Allen,1998

3. Worldwide assessment of the Penman–Monteith temperature approach for the estimation of monthly reference evapotranspiration;Almorox;Theor. Appl. Climatol.,2016

4. Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters;Chia;Comput. Electron. Agric.,2020

5. Recent advances in evapotranspiration estimation using artificial intelligence approaches with a focus on hybridization techniques—a review;Chia;Agronomy,2020

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of Support Vector Machine with Biological Heuristic Algorithms for Estimation of Daily Reference Evapotranspiration Using Limited Meteorological Data in China;Agronomy;2024-08-13

2. Generalization Ability of Bagging and Boosting Type Deep Learning Models in Evapotranspiration Estimation;Water;2024-08-08

3. Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation;Groundwater for Sustainable Development;2024-08

4. Development of radiation and temperature-based empirical models for accurate daily reference evapotranspiration estimation in Iraq;Stochastic Environmental Research and Risk Assessment;2024-05-06

5. A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain;Agricultural Water Management;2024-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3