{"title":"Application of a Hybrid Model Based on Secondary Decomposition and ELM Neural Network in Water Level Prediction","authors":"Yulong Bai, Wenyan Xing, Lin Ding, Qinghe Yu, Wei Song, Yajie Zhu","doi":"10.1061/jhyeff.heeng-5946","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrologic Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1061/jhyeff.heeng-5946","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.