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基于K-means和Random Forest的WiFi室内定位方法李军1,何星1,蔡云泽1,徐琴21. 上海交通大学自动化系系统控制与信息处理教育部重点实验室2. 国网上海市电力公司电力科学研究院摘 要:为了减小室内环境因素对室内WiFi定位的影响,降低定位成本,提高定位精度以及扩大定位区域,通过对室内定位系统和机器学习算法的讨论,提出了一种基于K-means和Random Forest融合的WiFi室内定位算法.针对室内WiFi信号强度分布的特点,该算法通过K-means聚类改进算法对数据进行初始分类,然后使用Random Forest对初始分类结果进行二次分类.实验结果表明,该定位算法的定位精度在2米以内的概率为89.1%,达到预期的定位效果,同时对缺失值数据具有较好的适应能力.关......
基于Random Forest的区域性泥石流的预警预测研究--以凤城市为例付建飞,门业凯,侯根群,赵纯福东北大学资源与土木工程学院摘 要:以GIS为平台,选取16个预测因子(包括8个遥感因子,3个DEM因子,4个土壤因子和1个地层岩性),提取泥石流发生当日和前一日累计降水数据为响应因子,建立了random....关键词:泥石流;凤城市;random forest;预警预测;降水;......
, and random forest are used. A database for the experiments is collected from three major Gurumukhi script newspapers which are Ajit, Jagbani and Punjabi Tribune. Using 5-fold cross validation and random...; Gurumukhi script; random forest Cite this article as: Rupinder Pal Kaur, Manish Kumar Jindal, Munish Kumar. Recognition of newspaper printed in Gurumukhi script [J]. Journal of Central South University......
Trans. Nonferrous Met. Soc. China 23(2013) 472-477 Prediction of rockburst classification using Random Forest Long-jun DONG, Xi-bing LI, Kang PENG School of Resources and Safety Engineering, Central South University, Changsha 410083, China Received 8 November 2011; accepted 27 March 2012 Abstract: The method of Random Forest (RF) was used to classify whether rockburst will happen......
it with the original random forest and random rotation ensemble methods on 23 UCI classification datasets. Experimental results show that the MGARF method outperforms the other methods, and the number of base... approaches. The Random Forest (RF) is one of the most famous tree-based ensemble methods [19, 20]. It utilizes the feature selection and random subspace method for injecting diversity into ensembles......
(ANN), support vector regressor (SVR) and random forest (RF) methods were applied for the prediction of wear volume loss of AZ91 alloy. The correlation coefficient (R2) values of SVR, RF and ANN...; artificial neural networks; support vector regressor; random forest method 1 Introduction Magnesium (Mg) is a promising material due to its low density and high specific strength for aerospace and automotive......
,获得不同工艺参数组合与熔覆层尺寸的定量关系是亟待解决的难题.以Inconel 625合金的激光熔覆修复为背景,采用随机森林(Random Forest,RF)算法构建了激光熔覆工艺参数(激光功率,扫描速度,送粉速率)到单道熔覆层尺寸的回归模型,将模型用于特定熔覆参数组下单道尺寸的预测；同时在给定期望的单道熔覆层尺寸参数时,基于Gini不纯度选择强关联因子构建了工艺参数预测模型.结果表明,激光熔覆工...,同时易产生过拟合现象. 随机森林(Random forest,RF)作为目前预测效果最好的非参数回归模型之一,与参数回归方法相比,该算法无需对变量的正态性和独立性等假设条件进行检验,同时也不需要考虑多变量的共线问题[17].与神经网络等其他机器学习算法相比,RF用于回归预测不仅不需要多次调参,同时能够度量每个参数对响应的重要性[18-19],这个特点可以方便深入对激光熔覆过程的理解.综合以上,本......
An improved deep forest model for forecast the outdoor atmospheric corrosion rate of low-alloy steelsYuanjie Zhi1,Tao Yang1,Dongmei Fu1,21. School of Automation and Electrical Engineering, University...">The paper proposes a new deep structure model, called Densely Connected Cascade Forest-Weighted K Nearest Neighbors(DCCF-WKNNs), to implement the corrosion data modelling and corrosion knowledgemining......
decorrlation, the random motion over ground (RMoG) model is proposed, which is formulated by the assumption that wind-induced decorrelation would vary with forest height [46, 47]. In addition... J. Cent. South Univ. (2020) 27: 997-1011 DOI: https://doi.org/10.1007/s11771-020-4348-4 A review of underlying topography estimation over forest areas by InSAR: Theory, advances, challenges......
variables set of traffic incident detection which contains 12 variables was built, and the random forest method was used to select the key variables. Then combined kernel function, relevance vector... better than that of the single kernel function RVM model and SVM model. Key words: automatic incident detection; random forest; relevance vector machine model; combined kernel function 城市快速路是城市路网的重要组成部分......
