{"title":"“基于分解重构和群体智能的最小二乘支持向量机提高水文时间序列预测精度”的探讨","authors":"O. Kisi, Kai Liepelt, Christoph Kulls","doi":"10.1061/jhyeff.heeng-5743","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence”\",\"authors\":\"O. Kisi, Kai Liepelt, Christoph Kulls\",\"doi\":\"10.1061/jhyeff.heeng-5743\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":54800,\"journal\":{\"name\":\"Journal of Hydrologic Engineering\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-04-01\",\"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-5743\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrologic Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1061/jhyeff.heeng-5743","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}
Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence”
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.