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首页> 外文期刊>Robotics & Machine Learning Daily News >Research Findings from University of Electronic Science and Technology of China Update Understanding of Computational Intelligence and Neuroscience (Improved Faster R-CNN Based Surface Defect Detection Algorithm for Plates)
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Research Findings from University of Electronic Science and Technology of China Update Understanding of Computational Intelligence and Neuroscience (Improved Faster R-CNN Based Surface Defect Detection Algorithm for Plates)

机译:研究发现大学的电子中国科学技术更新计算智能和理解基于神经科学(改进更快R-CNN表面缺陷检测算法板块)

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By a News Reporter-Staff News Editor at Robotics Machine Learning Daily News - Researchers detail new data in computational intelligence and neuroscience. According to news originating from Zhongshan, People’s Republic of China, by NewsRx correspondents, research stated, “Defect recognition plays an important part of panel inspection, and most of the current manual inspection methods are used, but the recognition efficiency and recognition accuracy are low.”
机译:机器人技术与新闻记者新闻编辑机器学习每日新闻——研究人员的细节在计算智能和新数据神经科学。中山、中华人民共和国、NewsRx记者,研究指出,“缺陷识别面板的一个重要组成部分检查,大多数现有的手册检查方法是使用,但认可效率和识别精度较低。”

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