Artificial Intelligence models for prediction of the tide level in Venice

Author:

Granata FrancescoORCID,Di Nunno FabioORCID

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Reference45 articles.

1. Aghelpour P, Varshavian V (2020) Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series. Stoch Environ Res Risk Assess 34:33–50

2. Aghelpour P, Bahrami-Pichaghchi H, Varshavian V (2021) Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran. Stoch Environ Res Risk Assess 26(4):1–21

3. Box GEP, Jenkins GM (1968) Some recent advances in forecasting and control. J R Stat Soc Ser C (Appl Stat) 17(2):91–109

4. Breiman L (2001) Random forests. Mach Learn 45(1):5–32

5. Camuffo D (1993) Analysis of the sea surges at Venice from AD 782 to 1990. Theor Appl Climatol 47(1):1–14

Cited by 50 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

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