首页|Findings from Northwestern Polytechnic University Provides New Data on Machine L earning (High-temperature Ablation Resistance Prediction of Ceramic Coatings Usi ng Machine Learning)
Findings from Northwestern Polytechnic University Provides New Data on Machine L earning (High-temperature Ablation Resistance Prediction of Ceramic Coatings Usi ng Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Xi’an, People’s Repub lic of China, by NewsRx journalists, research stated, “Surface ablation temperat ure and linear ablation rate are two crucial indicators for ceramic coatings und er ultrahigh temperatures service, yet the results collection of such two indica tors in the process is difficult due to the long-period material preparation and the high-cost test. In this work, four kinds of machine learning models are app lied to predict the above two indicators.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNorthwestern Polytechnic Univ ersity
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