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首页> 外文期刊>Network Daily News >Report Summarizes Information Technology Study Findings from Beijing Institute of Technology (Intelligent Tool Wear Monitoring and Multi-step Prediction Based On Deep Learning Model)
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Report Summarizes Information Technology Study Findings from Beijing Institute of Technology (Intelligent Tool Wear Monitoring and Multi-step Prediction Based On Deep Learning Model)

机译:报告总结了信息技术研究发现从北京理工学院(智能刀具磨损监测和多步骤基于深度学习模型预测)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – A new study on Information Technology is now available. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “In modern manufacturing industry, tool wear monitoring plays a significant role in ensuring product quality and machining efficiency. Numerous data-driven models based on deep learning have been developed to improve the accuracy of tool wear monitoring.”
机译:由一个新闻记者在网络新闻编辑每日新闻》——一项新的研究信息技术现在是可用的。来自北京的报道,人民中华人民共和国NewsRx记者,研究指出:“在现代制造业行业,刀具磨损监测中在确保产品质量和重要的作用加工效率。基于深度学习已经开发出来改善刀具磨损监测的准确性。”

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    《Network Daily News》 |2022年第3期|24-25|共2页
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  • 正文语种 英语
  • 中图分类 TP-778;
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