Robotics & Machine Learning Daily News2024,Issue(Oct.14) :123-123.

Harbin Engineering University Researchers Update Knowledge of Machine Learning ( Research on Critical Quality Feature Recognition and Quality Prediction Method o f Machining Based on Information Entropy and XGBoost Hyperparameter Optimization )

Robotics & Machine Learning Daily News2024,Issue(Oct.14) :123-123.

Harbin Engineering University Researchers Update Knowledge of Machine Learning ( Research on Critical Quality Feature Recognition and Quality Prediction Method o f Machining Based on Information Entropy and XGBoost Hyperparameter Optimization )

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting from Harbin, People’s Republic of China, by NewsRx journalists, research stated, “To address the problem of predic ting machining quality for critical features in the manufacturing process of mec hanical products, a method that combines information entropy and XGBoost (versio n 2.1.1) hyperparameter optimization is proposed.” Financial supporters for this research include Ministry of Industry And Informat ion Technology (Miit) of The People’s Republic of China.

Key words

Harbin Engineering University/Harbin/P eople’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learnin g

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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