基于卷积神经网络的混凝土氯离子扩散系数回归预测

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hyun Kyu Shin, Ha Young Kim, Sang Hyo Lee
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引用次数: 2

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convolutional Neural Network-Based Regression for Predicting the Chloride Ion Diffusion Coefficient of Concrete
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来源期刊
Cmc-computers Materials & Continua
Cmc-computers Materials & Continua 工程技术-材料科学:综合
CiteScore
5.30
自引率
19.40%
发文量
345
审稿时长
1 months
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.
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