{"title":"Reducing the Effect of Incorrect Lithology Labels on the Training of Deep Neural Networks for Lithology Identification","authors":"Xiaoyue Feng, Hongmei Luo, Changjiang Wang, Hanming Gu","doi":"10.1007/s11004-023-10094-6","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"49 1","pages":"0"},"PeriodicalIF":2.8000,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Geosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11004-023-10094-6","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
期刊介绍：
Mathematical Geosciences (formerly Mathematical Geology) publishes original, high-quality, interdisciplinary papers in geomathematics focusing on quantitative methods and studies of the Earth, its natural resources and the environment. This international publication is the official journal of the IAMG. Mathematical Geosciences is an essential reference for researchers and practitioners of geomathematics who develop and apply quantitative models to earth science and geo-engineering problems.
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