Results 61 to 70 of about 751 (153)
Valve Leakage Mode Recognition Method Based on Empirical Mode Decomposition and Random Forest [PDF]
As a critical equipment in nuclear power plants, valve leakage would have an impact on system safety and stable operation. Using acoustic emission technology to identify valve leakage and distinguish between different leakage modes of internal and ...
ZHE Na1, , LIU Shiwen1, 2, HE Pan1, ZHENG Hua1, WANG Liangzi1
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Comparison of Classifiers Models for Prediction of Intimate Partner Violence [PDF]
, 2021 Intimate partner violence (IPV) is a problem that has been studied by different researchers to determine the factors that influence its occurrence, as well as to predict it.
Ayma Quirita, Victor Hugo +3 more
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An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China [PDF]
ObjectiveLithology identification lays the foundation for fine-scale reservoir evaluation. However, traditional identification methods generally utilize the interactive relationships between only 2‒3 logging parameters, suffering from low utilization ...
Chengguang ZHANG +8 more
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Dianci bileiqi, 2023 绝缘子的污染性能对维持电力系统的可靠性、安全性和成本效益起着关键作用。在不同的绝缘子监测技术中，泄露电流可以衡量绝缘子串离闪络的距离，是最有意义的污染性能指标之一。综合考虑环境因素和天气信息的影响，提出了一种基于累积污染指数(Cumulative Pollution Index, CPI)的随机森林模型来预测玻璃绝缘子串泄漏电流。累积污染指数能根据风、定向灰尘和雨水数据估计绝缘子串上的可溶性污染沉积物，不仅适用于玻璃制成的绝缘体，还适用于具有疏水转移特性的有机硅树脂涂层绝缘子 ...
张旭, 张颖
doaj
Several Research on Random Forest Improvement [PDF]
, 2014 在机器学习领域，随机森林是一种重要和常见的数据挖掘方法。随机森林不 仅具有很高的分类性能，而且具有需要调整的参数较少、运算快速高效、不用担 心过拟合以及较强的容忍噪声能力等特点。随机性能良好的性能使得其在智能信 息处理、生物信息学、金融学、故障诊断、图像识别、工业自动化等领域得到了 广泛的应用并取得巨大的成功，吸引了人们的广泛关注。 虽然许多学者对随机森林进行了广泛的研究，并且取得了许多显著的成果， 但是随机森林仍然存在一些局限和不足，拥有一些可改进的空间 ...
李贞贵
core
Shuitu Baochi Xuebao, 2021 为探明宁东土壤饱和导水率（Ks）的空间分布特征，在宁东采集136个原状土，采用经典统计和地统计方法分析土壤Ks的空间结构特征，并以地形因子、土壤属性等作为辅助变量，运用随机森林法（RF）、普通克里格法（OK）和逐步回归克里格法（RK）对区域土壤Ks进行预测并对3种方法的预测结果进行精度评价。结果表明：Ks介于0.05~7.13 mm/min，平均值为1.46 mm/min，变异系数为106.86%；Ks与容重、孔隙度、高程、坡度、坡向、平面曲率和剖面曲率在不同滞后距离下具有自相关关系和交互相关关系 ...
夏子书 +6 more
doaj
Mechanism-learning prediction model for pitting depth of buried pipeline based on HMOGWO-RF [PDF]
Objective China's oil and gas pipeline networks are expected to reach 24×104 km by 2025. Pipeline transportation has become one of the key means of transportation in the country.
Fulin SONG, Hong ZHAO, Xingyuan MIAO
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Dianci bileiqi, 2022 输配电线路中安装的绝缘子的污秽性能对维持电力系统的可靠性、安全性和经济性起着至关重要的作用。在不同的绝缘子监测技术中,泄漏电流是最有意义的污染性能指标之一,因为它可以衡量绝缘子串与闪络的距离。基于此,充分考虑系统中绝缘子的安装位置环境和天气状况等信息,提出了一种新型预测绝缘子串泄漏电流的方法。该方法采用了一种新型累积污染指数(CPI),并通过机学习技术来估计绝缘子串上的可溶性污染沉积状态。该方法适用于陶瓷绝缘子以及具有疏水转移性能的室温硫化硅涂层绝缘子。最后,在连续22个月的时间内,对三组不同类型 ...
张晓华 +6 more
doaj
[Identification of potential regulatory genes for embryonic stem cell self-renewal and pluripotency by random forest]. [PDF]
Nan Fang Yi Ke Da Xue Xue Bao, 2021 Zeng P +5 more
europepmc +1 more source
Haiyang yu huzhao海洋声速显著影响水下声传播特性，快速获取声速剖面对水声定位、目标探测和水下通信意义重大。单变量经验正交函数法(single empirical orthogonal function regression，sEOF-r)通过建立声速剖面的经验正交系数与海表环境信息之间的线性回归关系重构声速剖面。上述方法主要存在以下不足：一是声速与海表信息并非简单的线性关系，二是逐格点重构对于大区域三维声速场重构而言计算效率低下。为此，本文基于HYCOM (hybrid coordinate ocean model ...
李 洪臣 +5 more
doaj +1 more source