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首页> 外文期刊>Network Daily News >Studies in the Area of Artificial Neural Networks Reported from China University of Geosciences (Rock Discontinuities Identification From 3d Point Clouds Using Artificial Neural Network)
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Studies in the Area of Artificial Neural Networks Reported from China University of Geosciences (Rock Discontinuities Identification From 3d Point Clouds Using Artificial Neural Network)

机译:研究领域的人工神经网络从中国地质大学报道从3 d(岩石不连续识别点云使用人工神经网络)

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By a News Reporter-Staff News Editor at Network Daily News - Investigators publish new report on Artificial Neural Networks. According to news reporting originating in Hubei, People’s Republic of China, by NewsRx journalists, research stated, “Rock discontinuities fundamentally impact the mechanical and hydraulic behaviors of a rock mass, and thus it is a critically important task to characterize the geometrical parameters of these rock discontinuities. To measure the discontinuity orientation more accurately and efficiently, two well-known point clouds were taken as cases (a cube and a road cut), and an artificial neural network (ANN)-an machine learning algorithm-was established to identify discontinuities from point clouds through learning a small number of training samples, which had been manually selected from the raw point clouds.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员发布的新报告人工神经网络。报告来自湖北,人民共和国中国NewsRx记者、研究说,“摇滚不连续从根本上影响机械和液压岩石的行为质量,因此它是一个至关重要的任务描述的几何参数这些岩石不连续。不连续面取向和更准确有效地,两位知名的点云作为案例(一个立方体,一条路),和一个人工神经网络(ANN)——机器学习算法建立了识别不连续的点云学习少量的训练样本,已从原始的手工选择吗点云。”

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