loadings

简明释义

英[ˈləʊdɪŋz]美[ˈloʊdɪŋz]

n. [力] 载荷；荷量；附加费率

英英释义

单词用法

同义词

反义词

例句

1.The problem of one dimensional consolidation of soft clays under cyclic loadings taking account of rheological characteristics of soils is studied.

研究了在循环荷载作用下考虑土的流变特性时的饱和软土层的一维固结问题。

2.The simplified analysis of framed-tube structures of any polygon-rial section under transverse and torsional loadings is discussed in the paper.

本文讨论截面为任意多边形的框筒结构在横向和扭转荷载下的简化计算。

3.The paper studies the dynamic response of an articulated tower platform (ATP) in the still water under harmonic earthquake loadings.

研究静水中铰接塔平台在简谐地震作用下的动力响应特性。

4.Depending on results of the analyses the "load Group" allowable loadings may be modified to suit the specific requirements of the technical specification.

根据分析结果判断，“载荷组”的允许载荷需要进行调整，以符合技术规范的特定要求。

5.It 'showed no signs of exudation or other failure to contain liquid loadings.

未出现渗液或其它的不能保持住液体的迹象。

6.In this thesis, finite element analysis is carried out on a large polypropylene tubular loop reactor which is complicated both in structure and loadings.

本文对结构和受载都非常复杂的聚丙烯环管反应器建立了有限元分析设计模型。

7.The third dietary factor was labeled 'prudent' because of its high loadings on fruit and vegetable intake.

第三个饮食因素标记为“精明”，因其摄入大量的水果和蔬菜。

8.The results show that, in the condition of small scale yielding (SSY), the peak value of loadings linearly increases with decreasing pure Al sheet thickness.

结果表明：在小范围屈服条件下随着中间纯铝层厚度的降低，其峰值载荷呈线性增加；

9.The truck's loadings were carefully secured to prevent any damage during transit.

卡车的装载被仔细固定，以防在运输过程中损坏。

10.Different types of vehicles have varying loadings based on their design and purpose.

不同类型的车辆根据其设计和用途有不同的载重。

11.We need to calculate the loadings for each shipment to ensure they meet safety regulations.

我们需要计算每个货物的装载量，以确保它们符合安全规定。

12.The software can help you visualize the loadings on various components of the system.

该软件可以帮助您可视化系统中各个组件的负载。

13.The engineer analyzed the loadings on the bridge to determine its structural integrity.

工程师分析了桥梁上的载荷，以确定其结构完整性。

作文

In the world of statistics and data analysis, the term loadings refers to the coefficients that indicate the relationship between observed variables and their underlying latent factors. These loadings play a crucial role in factor analysis, a technique used to reduce the number of variables and identify the structure of the data. For instance, in a study analyzing consumer behavior, researchers might use loadings to determine how various factors like age, income, and education level influence purchasing decisions. By examining the loadings, analysts can gain insights into which factors are most significant in driving consumer choices.Understanding loadings is essential for interpreting the results of factor analysis correctly. Each loading indicates the strength and direction of the relationship between a variable and a factor. A high positive loading suggests that as the factor increases, the observed variable also increases, whereas a high negative loading indicates an inverse relationship. This interpretation allows researchers to make informed decisions based on the underlying patterns in the data.Moreover, loadings can also be used in the context of structural equation modeling (SEM), where they help in understanding the complex relationships between multiple variables. In SEM, the loadings reflect how well the measured variables represent the latent constructs. This is particularly important in social sciences, where constructs such as intelligence or satisfaction cannot be measured directly but can be inferred through related indicators.The significance of loadings extends beyond just statistical analysis; it has practical implications in various fields. For example, in marketing, businesses can utilize loadings to segment their customer base more effectively. By understanding which factors contribute most significantly to customer preferences, companies can tailor their marketing strategies to meet the specific needs of different segments. This targeted approach not only enhances customer satisfaction but also improves overall business performance.Furthermore, the concept of loadings is not limited to traditional statistics; it also finds relevance in machine learning and artificial intelligence. In these domains, loadings can help in feature selection, where the most impactful features are identified based on their loadings in relation to the target variable. This process is vital for building efficient predictive models that can generalize well to new data.In conclusion, the term loadings encapsulates a fundamental aspect of data analysis, providing insights into the relationships between variables and their underlying factors. Whether in academic research, marketing strategies, or machine learning applications, understanding loadings is paramount for making informed decisions based on data. As we continue to navigate an increasingly data-driven world, the ability to interpret and apply loadings will remain a valuable skill for professionals across various disciplines.

在统计和数据分析的世界中，术语loadings指的是系数，这些系数表示观察变量与其潜在因子之间的关系。这些loadings在因子分析中起着至关重要的作用，因子分析是一种用于减少变量数量并识别数据结构的技术。例如，在分析消费者行为的研究中，研究人员可能会使用loadings来确定年龄、收入和教育水平等各种因素如何影响购买决策。通过检查loadings，分析师可以获得有关哪些因素在推动消费者选择方面最重要的见解。理解loadings对于正确解释因子分析结果至关重要。每个loading指示变量与因子之间关系的强度和方向。高正loading表明随着因子的增加，观察变量也增加，而高负loading则表明存在反向关系。这种解释使研究人员能够根据数据中的潜在模式做出明智的决定。此外，loadings还可以在结构方程模型（SEM）的背景下使用，它们有助于理解多个变量之间的复杂关系。在SEM中，loadings反映了测量变量如何代表潜在构建。这在社会科学中尤为重要，因为诸如智力或满意度等构建无法直接测量，但可以通过相关指标推断出来。loadings的重要性不仅限于传统统计分析；它在各个领域也具有实际意义。例如，在营销中，企业可以利用loadings更有效地细分客户群体。通过了解哪些因素对客户偏好贡献最大，公司可以制定针对不同细分市场的营销策略。这种有针对性的方法不仅提高了客户满意度，还改善了整体业务表现。此外，loadings的概念不仅限于传统统计；它在机器学习和人工智能中也找到了相关性。在这些领域中，loadings可以帮助特征选择，其中基于与目标变量的关系识别出最有影响力的特征。这个过程对于构建能够很好地推广到新数据的高效预测模型至关重要。总之，术语loadings概括了数据分析的一个基本方面，提供了对变量之间及其潜在因子之间关系的洞察。无论是在学术研究、营销策略还是机器学习应用中，理解loadings对于根据数据做出明智的决策至关重要。随着我们继续在一个日益数据驱动的世界中航行，解释和应用loadings的能力将仍然是各个学科专业人士的一项宝贵技能。