Robotics & Machine Learning Daily News2024,Issue(Apr.24) :74-75.

Studies from Hebei University of Technology Describe New Findings in Machine Lea rning (Machine Learning-based Performance Predictions for Steels Considering Man ufacturing Process Parameters: a Review)

Robotics & Machine Learning Daily News2024,Issue(Apr.24) :74-75.

Studies from Hebei University of Technology Describe New Findings in Machine Lea rning (Machine Learning-based Performance Predictions for Steels Considering Man ufacturing Process Parameters: a Review)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating from Tianjin, P eople’s Republic of China, by NewsRx correspondents, researchstated, “Steels ar e widely used as structural materials, making them essential for supporting our livesand industries. However, further improving the comprehensive properties of steel through traditional trialand-error methods becomes challenging due to th e continuous development and numerous processingparameters involved in steel pr oduction.”

Key words

Tianjin/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Hebei University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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