{"title":"基于卷积神经网络的混凝土氯离子扩散系数回归预测","authors":"Hyun Kyu Shin, Ha Young Kim, Sang Hyo Lee","doi":"10.32604/cmc.2022.017262","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"45 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Convolutional Neural Network-Based Regression for Predicting the Chloride Ion Diffusion Coefficient of Concrete\",\"authors\":\"Hyun Kyu Shin, Ha Young Kim, Sang Hyo Lee\",\"doi\":\"10.32604/cmc.2022.017262\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":10440,\"journal\":{\"name\":\"Cmc-computers Materials & Continua\",\"volume\":\"45 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cmc-computers Materials & Continua\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.32604/cmc.2022.017262\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cmc-computers Materials & Continua","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.32604/cmc.2022.017262","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
期刊介绍:
This journal publishes original research papers in the areas of computer networks, artificial intelligence, big data management, software engineering, multimedia, cyber security, internet of things, materials genome, integrated materials science, data analysis, modeling, and engineering of designing and manufacturing of modern functional and multifunctional materials.
Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.