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河南省城市物流发展水平实证分析 被引量:3
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作者 刘洪芹 《北方经贸》 2020年第12期71-74,共4页
现利用GEM模型,选取5个一级指标和24个二级指标来分析河南省18个地市的物流竞争力水平。运用多种灰度关联分析方法剔除关联度较低的指标,使用因子分析法对关联度较高的指标进行主成份分析,并对指标数据摒弃了通常采用的总量数据,而是对... 现利用GEM模型,选取5个一级指标和24个二级指标来分析河南省18个地市的物流竞争力水平。运用多种灰度关联分析方法剔除关联度较低的指标,使用因子分析法对关联度较高的指标进行主成份分析,并对指标数据摒弃了通常采用的总量数据,而是对总量数据进行了密度化处理,更加科学的计算出河南省18个地市的物流平均发展水平,并提出有效建议。 展开更多
关键词 GEM模型 灰度关联度分析 因子分析
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基于GRA-GEP的爆破峰值速度预测 被引量:8
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作者 陈秋松 张钦礼 +2 位作者 陈新 肖崇春 姜群 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2016年第7期2441-2447,共7页
针对在爆破施工中爆破振动危害严重、爆破振动峰值速度难以预测的问题,通过灰色关联度理论和My Eclipse开发工具,建立基于灰色关联度分析(GRA)和基因表达式编程算法(GEP)的GRA-GEP爆破峰值速度预测模型。以湖北铜录山现场露天台阶爆破... 针对在爆破施工中爆破振动危害严重、爆破振动峰值速度难以预测的问题,通过灰色关联度理论和My Eclipse开发工具,建立基于灰色关联度分析(GRA)和基因表达式编程算法(GEP)的GRA-GEP爆破峰值速度预测模型。以湖北铜录山现场露天台阶爆破实测数据进行模拟预测,通过灰色关联度分析,认为最大段药量、总装药量、水平距离、高程差、前排抵抗线长度、测点与最小抵抗线方向夹角等与爆破峰值速度存在相关性,进而为了实现爆破峰值速度进行预测,根据GEP计算思路,采用My Eclipse软件进行Java语言编程模拟运算。研究结果表明:GRA-GEP模型预测结果最大相对误差为14.4%,平均相对误差为7.8%,远低于萨道夫斯基经验公式(平均相对误差30.6%)与BP神经网络预测模型(平均相对误差13.3%)。 展开更多
关键词 爆破振动 爆破峰值速度 灰度关联度分析(GRA-GEP) 基因表达式编程算法 预测
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Evaluation of Relationship Between Clothing Pressure of Men's Suit and Comfort 被引量:4
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作者 白越 陈东生 甘应进 《Journal of Donghua University(English Edition)》 EI CAS 2004年第1期152-156,共5页
An investigation on relationship between clothing pressure of men's suit and wearing comfort is conducted. With the pressure measurements at different parts of men's suit under normal standing posture and in m... An investigation on relationship between clothing pressure of men's suit and wearing comfort is conducted. With the pressure measurements at different parts of men's suit under normal standing posture and in motion, the objective assessment of the total comfort are related to the subjective ratings of clothing pressure. There is a common strong sensation of pressure on shoulder with normal standing posture, and a strong relationship between total comfort and clothing pressure in back armhole and the front of upper arm with posture in motion. 展开更多
关键词 clothing pressure men's suit wearing comfort grey correlation analysis
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Optimal design of automotive body B-pillar using simplified finite element model of body-in-prime combined with an optimization procedure
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作者 Mehri IZANLOO Abolfazl KHALKHALI 《Journal of Central South University》 SCIE EI CAS CSCD 2022年第12期3939-3955,共17页
Optimization of an automotive body structure faces the difficulty of having too many design variables and a too large design search space. A simplified model of body-in-prime(BIP) can solve this difficulty by reducing... Optimization of an automotive body structure faces the difficulty of having too many design variables and a too large design search space. A simplified model of body-in-prime(BIP) can solve this difficulty by reducing the number of design variables. In this study, to achieve lighter weight and higher stiffness, the simplified model of BIP was developed and combined with an optimization procedure;consequently, optimal designs of automotive body B-pillar were produced. B-pillar was divided into four quarters and each quarter was modelled by one simplified beam. In the optimization procedure, depth, width, and thickness of the simplified beams were considered as the design variables.Weight, bending and torsional stiffness were also considered as objective functions. The optimization procedure is composed of six stages: designing the experiments, calculating grey relational grade, calculating signal-to noise ratio,finding an optimum design using Taguchi grey relational analysis, performing sensitivity analysis using analysis of variance(ANOVA) and performing non-dominated sorting and multi-criteria decision making. The results show that the width of lower B-pillar has the highest effect(about 55%) and the obtained optimum design point could reduce the weight of B-pillar by about 40% without reducing the BIP stiffness by more than 1.47%. 展开更多
关键词 body-in-prime(BIP)model finite element model bending stiffness torsional stiffness B-pillar Taguchi method multi criterion decision-making(MCDM)method
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