Data on Machine Learning Detailed by Researchers at Chongqing University of Post s and Telecommunications (A Two-stage Feature Selection Method for Hob State Rec ognition)

重庆邮电大学研究人员详细介绍的机器学习数据(滚刀状态识别的两阶段特征选择方法)

Robotics & Machine Learning Daily News2024，Issue(Jul.2) ：145-145.

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Data on Machine Learning Detailed by Researchers at Chongqing University of Post s and Telecommunications (A Two-stage Feature Selection Method for Hob State Rec ognition)

重庆邮电大学研究人员详细介绍的机器学习数据(滚刀状态识别的两阶段特征选择方法)

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摘要

Robotics&Machine Learning Daily News的一位新闻记者兼工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。根据NewsRx记者从重庆发回的新闻报道，研究表明：“在机械领域，刀具状态严重影响生产质量和效率，机器学习是实现刀具状态识别的重要技术。”本研究经费来源于国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “In mecha nical field, tool state seriously affects the production quality and efficiency. Recently, machine learning is an important technique to realize tool state reco gnition.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Chongqing/People's Republic of China/A sia/Cyborgs/Emerging Technologies/Engineering/Machine Learning/Chongqing Un iversity of Posts and Telecommunications

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出版年

2024

Robotics & Machine Learning Daily News

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