Modeling daily soil temperature over diverse climate conditions in Iran—a comparison of multiple linear regression and support vector regression techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/article/10.1007/s00704-018-2370-3/fulltext.html
Reference36 articles.
1. Adamowski J, Karapataki C (2010) Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms. J Hydrol Eng 15(10):729–743. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000245
2. Bilgili M (2010) Prediction of soil temperature using regression and artificial neural network models. Meteorog Atmos Phys 110(1–2):59–70. https://doi.org/10.1007/s00703-010-0104-x
3. Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge university press, DOI: https://doi.org/10.1017/CBO9780511801389
4. Fan AW, Liu W (2003) Simulation of the daily change of soil temperature under different conditions. Heat Transfer—Asian Res 32(6):533–544. https://doi.org/10.1002/htj.10106
5. George RK (2001) Prediction of soil temperature by using artificial neural networks algorithms. Nonlinear Anal: Theory Methods Appl 47(3):1737–1748. https://doi.org/10.1016/S0362-546X(01)00306-6
Cited by 27 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. Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent paradigms;PLOS ONE;2023-12-27
2. A comparative analysis of deep learning models for soil temperature prediction in cold climates;Theoretical and Applied Climatology;2023-12-13
3. Study on Soil Moisture Prediction based on the VMD-PCA-Informer Model;2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS);2023-08-12
4. Deep learning approach for one-hour ahead forecasting of weather data;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2023-06-12
5. Machine Learning-Enabled Optimization of Interstitial Fluid Collection via a Sweeping Microneedle Design;ACS Omega;2023-05-31
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