首页|Data on Machine Learning Reported by Researchers at Beijing Jiaotong University (Machine Learning-based Multi-objective Optimization and Physical-geometrical Co mpetitive Mechanisms for 3d Woven Thermal Protection Composites)
Data on Machine Learning Reported by Researchers at Beijing Jiaotong University (Machine Learning-based Multi-objective Optimization and Physical-geometrical Co mpetitive Mechanisms for 3d Woven Thermal Protection Composites)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting out of Beijing, Peopl e's Republic of China, by NewsRx editors, research stated, "3D wovencomposite m aterials are prime candidates for thermal protection due to their significant th ermophysicalproperties, which necessitates accurate prediction of these propert ies and precise meso-structural design.This study introduces a fusion framework that integrates machine learning-based sensitivity analysis andmulti-objective optimization design."Funders for this research include National Key R & D Program of Ch ina, National Natural ScienceFoundation of China (NSFC).
BeijingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningBeijing Jiaotong University
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