首页|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)

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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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.”

TianjinPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningHebei University of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.24)