首页|Research Conducted at Beijing Institute of Technology Has Provided New Informati on about Machine Learning (Inverse Machine Learning Framework for Optimizing Gra dient Honeycomb Structure Under Impact Loading)
Research Conducted at Beijing Institute of Technology Has Provided New Informati on about Machine Learning (Inverse Machine Learning Framework for Optimizing Gra dient Honeycomb Structure Under Impact Loading)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Beijing, People's Republic of China, by NewsRx journalists, research stated, "In this study, an inverse design frame work was constructed to explore gradient honeycomb structures (HCS) with high im pact resistance. By establishing the relationship between the height of the cell and the cell-wall angle, HCS with different gradient modes were designed." Financial supporters for this research include National Key R & D Program for Young Scientists of China, China, National Natural Science Foundatio n of China (NSFC), Science and Technology Innovation Program of Beijing institut e of technology.
BeijingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningBeijing Institute of Techno logy
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