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Zhongshan Daxue xuebao. Yixue kexue ban目的采用机器学习方法构建冠状动脉狭窄风险识别模型，分析影响冠状动脉狭窄的主要因素。方法连续纳入2013年1月至2020年5月就诊于山西省两所医院，经冠状动脉造影确诊为冠心病的患者。以患者临床资料为自变量，Gensini积分为结局变量，采用Logistic回归、反向传播神经网络（BPNN）和随机森林（RF）算法构建冠状动脉狭窄风险识别模型。通过灵敏度（TPR）、特异度（TNR）、准确率（ACC）、阳性预测值（PV+）、阴性预测值（PV-）、受试者工作特征曲线下面积（AUC）和校准曲线进行模型评价 ...
吕勇峰 +5 more
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全球能源互联网, 2022 电力负荷具有非线性和时序性的特点，为了深入研究各特征变量对于电力负荷预测的重要性，进而获得更高的电力负荷预测精度，提出了基于随机森林（random forest，RF）算法及长短期记忆网络（long short-term memory，LSTM）的混合负荷预测模型。首先根据时间日期因素及气候因素建立高维特征数据集作为随机森林模型的输入，通过随机森林算法筛选出重要特征量，并使其与历史负荷结合作为LSTM模型的输入，经过粒子群算法对LSTM模型进行参数寻优后得到RF-LSTM混合模型及负荷预测结果 ...
董彦军 +6 more
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Modeling Methods and Influencing Factors for Age Estimation Based on DNA Methylation [PDF]
, 2023 Age estimation based on tissues or body fluids is an important task in forensic science. The changes of DNA methylation status with age have certain rules, which can be used to estimate the age of the individuals.
Yi-hang HUANG, Wei-bo LIANG, Hui JIAN, Sheng-qiu QU
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Rapid Identification and Extraction of Anthropogenically Disturbed Regions Resulting from Production and Construction Projects in Hubei Province from 2017 to 2021 [PDF]
, 2023 [Objective] This study attempted to identify and extract anthropogenic disturbance areas resulting from production and construction projects in Hubei Province from 2017 to 2021.
Hua Li +3 more
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Metabonomics Analysis of Brain Stem Tissue in Rats with Primary Brain Stem Injury Caused Death [PDF]
, 2023 Objective To explore the potential biomarkers for the diagnosis of primary brain stem injury （PBSI） by using metabonomics method to observe the changes of metabolites in rats with PBSI caused death.
Qin SU, Qian-ling CHEN, Wei-bin WU, Qing-qing XIANG, Cheng-liang YANG, Dong-fang QIAO, Zhi-gang LI
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Slope safety, stability evaluation, and protective measures based on machine learning [PDF]
, 2022 In recent years, the slope instability has brought immeasurable costs to production and life of human. As a result, it is essential to correctly understand, analyze, and design the slope reasonably, and implement appropriate protective measures to ...
Chong-chong QI +2 more
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Objective assessment of communication speech interference effect based on feature fusion [PDF]
, 2023 In view of the objective assessment problem of the effect of communication speech interference, methods based on multi-measurements and multimodal fusion were proposed.First, the interfered speech was preprocessed by the endpoint detection algorithm and ...
Huaitao XU +4 more
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Gaoya dianqi, 2022 不同类型的高压电缆局部放电（简称局放）模式识别是该领域的难题。部分电缆局放类型之间相似度较大，识别困难。针对该问题，文中提出了一种基于随机决策森林（RF）的高压电缆局放模式识别方法。首先，制作了5种高压电缆人工缺陷，结合IEC 60270—2015系统和高频电流互感器（HFCT）进行实验，获取局放数据，并进行局放特征提取。其次，介绍了随机森林算法的原理和基于随机森林的高压电缆局放模式识别流程。最后，基于实验所得数据开展了局放模式识别方法有效性验证，确定了随机森林每个节点处特征子集中特征个数、节点分裂规则、
刘文浩 +6 more
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Geological structure recognition model based on improved random forest algorithm [PDF]
, 2023 Seismic attributes are often used for structural interpretation and prediction. In order to overcome the problems of multiple solutions and uncertainty caused by single seismic attribute prediction, seismic multi-attribute fusion technology is used to ...
Huaixiu WANG, Siyi FENG, Zuiliang LIU
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基于机器学习的沟谷地貌识别模型对比——以黄土高原典型流域为例
Shuitu Baochi Xuebao, 2023 探索沟谷地貌空间分布与环境控制特征之间的联系并构建沟谷地貌准确提取模型,对大尺度范围沟谷提取具有重要意义。基于人工提取黄土高原典型流域沟谷地貌样本,结合不同时期的Landsat8 OLI影像数据和DEM数据,建立随机森林模型确定黄土高原沟谷地貌提取最佳影像时期和最佳组合特征,基于最优模型参数,对比其与支持向量机和人工神经网络沟谷提取模型效果,验证模型泛化能力。结果表明:(1)黄土高原沟谷提取的最佳影像时期为12月,最佳组合特征集为Red、Blue、H、SWIR1、PNT、Coastal ...
范天程 +5 more
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