{"title":"Daily Water Level Time Series Prediction Using ECRBM-Based Ensemble Optimized Neural Network Model","authors":"Yi Fu, Xinzhi Zhou, B. Li, Yuexin Zhang","doi":"10.1061/(asce)he.1943-5584.0002219","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrologic Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1061/(asce)he.1943-5584.0002219","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
期刊介绍：
The Journal of Hydrologic Engineering disseminates information on the development of new hydrologic methods, theories, and applications to current engineering problems. The journal publishes papers on analytical, numerical, and experimental methods for the investigation and modeling of hydrological processes.
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