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惩罚项GLM算法下的数据分析岗位薪资影响因素分析
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作者 余婉露 张斯杰 《产业与科技论坛》 2023年第17期49-51,共3页
为了从样本量庞大、岗位描述多样复杂的招聘数据中获取与薪资显著相关的变量,探究数据分析岗位薪资的影响因素。本文将惩罚因子法和广义线性回归模型结合进行变量选择,提出了LASSO-GLM算法、SCAD-GLM算法和Adaptive LASSO-GLM算法。以... 为了从样本量庞大、岗位描述多样复杂的招聘数据中获取与薪资显著相关的变量,探究数据分析岗位薪资的影响因素。本文将惩罚因子法和广义线性回归模型结合进行变量选择,提出了LASSO-GLM算法、SCAD-GLM算法和Adaptive LASSO-GLM算法。以均方误差作为三种算法的评价准则,选取出最适合本案例的Adaptive LASSO-GLM算法进行薪资影响因素分析。结果表明,应聘者的工作经验年限、学历高低、掌握的软件、公司类型和公司所在地会对数据分析岗位的薪资造成显著影响,从而为数据分析相关岗位的应聘人员提供就业方向及就业学习指导。 展开更多
关键词 薪资影响因素 惩罚因子法 变量选择 Adaptive LASSO-GLM算
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Topology optimization of thermoelastic structures using the guide-weight method 被引量:4
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作者 LIU XinJun WANG Chao ZHOU YanHua 《Science China(Technological Sciences)》 SCIE EI CAS 2014年第5期968-979,共12页
The guide-weight method is introduced to solve the topology optimization problems of thermoelastic structures in this paper.First,the solid isotropic microstructure with penalization(SIMP)with different penalty factor... The guide-weight method is introduced to solve the topology optimization problems of thermoelastic structures in this paper.First,the solid isotropic microstructure with penalization(SIMP)with different penalty factors is selected as a material interpolation model for the thermal and mechanical fields.The general criteria of the guide-weight method is then presented.Two types of iteration formulas of the guide-weight method are applied to the topology optimization of thermoelastic structures,one of which is to minimize the mean compliance of the structure with material constraint,whereas the other one is to minimize the total weight with displacement constraint.For each type of problem,sensitivity analysis is conducted based on SIMP model.Finally,four classical 2-dimensional numerical examples and a 3-dimensional numerical example considering the thermal field are selected to perform calculation.The factors that affect the optimal topology are discussed,and the performance of the guide-weight method is tested.The results show that the guide-weight method has the advantages of simple iterative formula,fast convergence and relatively clear topology result. 展开更多
关键词 topology optimization THERMOELASTIC guide-weight method sensitivity analysis
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