摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-调查人员讨论机器学习的新发现。根据NewsRx记者从中国上海发回的新闻报道，研究表明：“利用具有转移学习的卷积神经网络对建筑垃圾进行精细分类的研究很少，本研究旨在开发一种高效的方法来实现建筑垃圾的精细分类。”这是促进回收系统在废物管理部门实现碳中和的关键步骤。资助项目包括国家重点项目、国家自然科学基金(NSFC)、上海市科技重点项目、中央大学基础研究基金、国际博士后交流基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating from Shanghai, People’ s Republic of China, by NewsRx correspondents, research stated, “Few studies rep orted using the convolutional neural network with transfer learning to finely cl assify the construction and demolition waste. This study aims to develop a highl y efficient method to realize the finely sorting the construction and demolition waste, which is a key step for promoting the recycling system to realize carbon neutrality in the waste management sector.” Financial supporters for this research include National Key RAMP;D Program of Ch ina, National Natural Science Foundation of China (NSFC), Shanghai Municipal Sci ence and Technology Major Project, Fundamental Research Funds for the Central Un iversities, International Postdoctoral Exchange Fellowship Program.
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