摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。据新华社西安新闻报道，“失效评估是(CPVs)复合材料压力容器优化设计的基本任务之一，但由于复合材料设计空间过大，失效评估工作成本高、难度大，阻碍了复合材料的设计与优化。”本研究的资助单位包括国家自然科学基金(NSFC)、陕西省科学研究计划、中国科学院院务委员会。
Abstract
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.
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