{"title":"评估人工神经网络中用于估算缺失的日降水量的输入变量选择方法","authors":"Mehran Ghodrati, Alireza B. Dariane","doi":"10.1080/02626667.2024.2387156","DOIUrl":null,"url":null,"abstract":"This study evaluates different Input Variable Selection (IVS) methods for precise daily precipitation estimation using artificial neural network (ANN) models. The effectiveness of the models is mea...","PeriodicalId":13036,"journal":{"name":"Hydrological Sciences Journal","volume":"226 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of input variable selection methods in artificial neural networks for estimating missing daily precipitation\",\"authors\":\"Mehran Ghodrati, Alireza B. Dariane\",\"doi\":\"10.1080/02626667.2024.2387156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study evaluates different Input Variable Selection (IVS) methods for precise daily precipitation estimation using artificial neural network (ANN) models. The effectiveness of the models is mea...\",\"PeriodicalId\":13036,\"journal\":{\"name\":\"Hydrological Sciences Journal\",\"volume\":\"226 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hydrological Sciences Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02626667.2024.2387156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Sciences Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02626667.2024.2387156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of input variable selection methods in artificial neural networks for estimating missing daily precipitation
This study evaluates different Input Variable Selection (IVS) methods for precise daily precipitation estimation using artificial neural network (ANN) models. The effectiveness of the models is mea...
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