An Experimental Investigation of the Application of Artificial Neural Network Techniques to Predict the Cyclic Polarization Curves of AL-6XN Alloy with Sensitization
{"title":"An Experimental Investigation of the Application of Artificial Neural Network Techniques to Predict the Cyclic Polarization Curves of AL-6XN Alloy with Sensitization","authors":"K. Jung, Seong-Jong Kim","doi":"10.14773/CST.2021.20.2.62","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":43201,"journal":{"name":"Corrosion Science and Technology-Korea","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Corrosion Science and Technology-Korea","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14773/CST.2021.20.2.62","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ELECTROCHEMISTRY","Score":null,"Total":0}