Comparison and Application of Artificial Neural Network, Support Vector Machine and Decision Trees in Predicting the Hydraulic Conductivity of Soil Saturation (Case Study: Hirmand City)
{"title":"Comparison and Application of Artificial Neural Network, Support Vector Machine and Decision Trees in Predicting the Hydraulic Conductivity of Soil Saturation (Case Study: Hirmand City)","authors":"iman bizhan, H. Piri, M. Tabatabaii, J. Piri","doi":"10.52547/jwmr.13.25.74","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":281117,"journal":{"name":"journal of watershed management research","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"journal of watershed management research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52547/jwmr.13.25.74","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}