首页|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 )
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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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.
Harbin Engineering UniversityHarbinP eople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learnin g
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