用神经网络回归改进钢的硬度预测

R. Bathla, S. Agashe, T. Popławski, V. Devabhaktuni, C. Elkin
{"title":"用神经网络回归改进钢的硬度预测","authors":"R. Bathla, S. Agashe, T. Popławski, V. Devabhaktuni, C. Elkin","doi":"10.33313/380/216","DOIUrl":null,"url":null,"abstract":"Digital technologies are transforming industry at all levels. Steel has the opportunity to lead all heavy industries as an early adopter of specific digital technologies to improve our sustainability and competitiveness. This column is part of AIST’s strategy to become the epicenter for steel’s digital transformation, by providing a variety of platforms to showcase and disseminate Industry 4.0 knowledge specific for steel manufacturing, from big-picture concepts to specific processes. Improved Prediction of Steel Hardness Through Neural Network Regression","PeriodicalId":226675,"journal":{"name":"AISTech2020 Proceedings of the Iron and Steel Technology Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improved Prediction of Steel Hardness Through Neural Network Regression\",\"authors\":\"R. Bathla, S. Agashe, T. Popławski, V. Devabhaktuni, C. Elkin\",\"doi\":\"10.33313/380/216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital technologies are transforming industry at all levels. Steel has the opportunity to lead all heavy industries as an early adopter of specific digital technologies to improve our sustainability and competitiveness. This column is part of AIST’s strategy to become the epicenter for steel’s digital transformation, by providing a variety of platforms to showcase and disseminate Industry 4.0 knowledge specific for steel manufacturing, from big-picture concepts to specific processes. Improved Prediction of Steel Hardness Through Neural Network Regression\",\"PeriodicalId\":226675,\"journal\":{\"name\":\"AISTech2020 Proceedings of the Iron and Steel Technology Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AISTech2020 Proceedings of the Iron and Steel Technology Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33313/380/216\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AISTech2020 Proceedings of the Iron and Steel Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33313/380/216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

数字技术正在改变工业的各个层面。作为特定数字技术的早期采用者,钢铁有机会引领所有重工业,以提高我们的可持续性和竞争力。本专栏是AIST成为钢铁数字化转型中心战略的一部分,通过提供各种平台来展示和传播钢铁制造特定的工业4.0知识,从大局概念到具体流程。用神经网络回归改进钢的硬度预测
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Prediction of Steel Hardness Through Neural Network Regression
Digital technologies are transforming industry at all levels. Steel has the opportunity to lead all heavy industries as an early adopter of specific digital technologies to improve our sustainability and competitiveness. This column is part of AIST’s strategy to become the epicenter for steel’s digital transformation, by providing a variety of platforms to showcase and disseminate Industry 4.0 knowledge specific for steel manufacturing, from big-picture concepts to specific processes. Improved Prediction of Steel Hardness Through Neural Network Regression
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信