首页|Researchers from School of Aerospace Report on Findings in Machine Learning (Fai lure Prediction and Optimization for Composite Pressure Vessel Combining Fem Sim ulation and Machine Learning Approach)
Researchers from School of Aerospace Report on Findings in Machine Learning (Fai lure Prediction and Optimization for Composite Pressure Vessel Combining Fem Sim ulation and Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Xi’an, People’s Republ ic of China, by NewsRx journalists, research stated, “Failure assessment is one of the fundamental tasks for optimization of composite pressure vessels (CPVs). However, the extensive design space of composites usually leads to costly and re petitive work of failure assessment that hinders the design and optimization of CPVs.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Scientific Research Program of Shaanxi province, China Schol arship Council.
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSchool of Aerospace
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