influence coefficient
简明释义
影响系数
英英释义
A numerical value that represents the degree to which one variable affects another in a mathematical or statistical model. | 一个数值,表示一个变量在数学或统计模型中对另一个变量的影响程度。 |
例句
1.The influence coefficient of temperature on the reaction rate was calculated to be significant.
温度对反应速率的影响系数被计算为显著。
2.In this study, we focused on the influence coefficient of social media marketing on consumer behavior.
在这项研究中,我们关注社交媒体营销对消费者行为的影响系数。
3.The environmental influence coefficient indicates how much pollution a factory emits.
环境影响系数表明工厂排放了多少污染物。
4.Understanding the influence coefficient of various factors can help improve product designs.
理解各种因素的影响系数可以帮助改善产品设计。
5.The influence coefficient for each variable was determined through regression analysis.
通过回归分析确定了每个变量的影响系数。
作文
In the realm of science and engineering, the term influence coefficient is frequently encountered, especially in fields such as structural engineering, fluid dynamics, and control systems. The influence coefficient is a mathematical representation that quantifies how a change in one variable affects another variable within a system. Understanding this concept is crucial for engineers and scientists as it helps in predicting system behavior under various conditions.To illustrate the significance of the influence coefficient, consider a simple example from structural engineering. When designing a bridge, engineers must account for various forces acting on the structure, such as wind, weight, and seismic activity. By calculating the influence coefficient for each force, they can determine how much each force will affect the overall stability of the bridge. This allows them to make informed decisions about materials and design choices, ensuring safety and durability.Another application of the influence coefficient can be found in fluid dynamics. When analyzing fluid flow through pipes, engineers often need to understand how changes in pipe diameter or length will influence the flow rate. The influence coefficient provides a way to quantify these relationships, allowing for more efficient designs and better performance predictions.In control systems, the influence coefficient plays a vital role in system stability and response. Engineers use it to assess how changes in input signals will affect the output of a system. For example, in an automatic temperature control system, the influence coefficient helps determine how quickly the system responds to changes in temperature settings. By optimizing these coefficients, engineers can create systems that are more responsive and energy-efficient.Moreover, the influence coefficient is not limited to engineering applications. It is also prevalent in economics and social sciences, where researchers study how various factors influence economic indicators or social behaviors. For instance, economists may analyze the influence coefficient of interest rates on consumer spending, providing valuable insights for policymakers.In summary, the influence coefficient is a fundamental concept that spans multiple disciplines. It serves as a critical tool for understanding the relationships between variables and making informed decisions based on those relationships. Whether in engineering, economics, or social sciences, mastering the influence coefficient enhances our ability to predict outcomes and optimize systems for better performance. As we continue to advance in technology and research, the importance of understanding and applying the influence coefficient will only grow, underscoring its relevance in both theoretical and practical applications.
在科学和工程领域,术语影响系数经常出现,特别是在结构工程、流体动力学和控制系统等领域。影响系数是一个数学表示,量化了一个变量的变化如何影响系统中的另一个变量。理解这个概念对于工程师和科学家至关重要,因为它有助于预测系统在各种条件下的行为。为了说明影响系数的重要性,我们考虑一个来自结构工程的简单例子。当设计一座桥梁时,工程师必须考虑作用在结构上的各种力,例如风力、重量和地震活动。通过计算每个力的影响系数,他们可以确定每种力对桥梁整体稳定性的影响程度。这使他们能够就材料和设计选择做出明智的决策,从而确保安全和耐用性。影响系数的另一个应用可以在流体动力学中找到。当分析流体通过管道的流动时,工程师通常需要了解管道直径或长度的变化将如何影响流速。影响系数提供了一种量化这些关系的方法,从而允许更高效的设计和更好的性能预测。在控制系统中,影响系数在系统稳定性和响应中发挥着至关重要的作用。工程师使用它来评估输入信号的变化将如何影响系统的输出。例如,在自动温度控制系统中,影响系数帮助确定系统对温度设置变化的响应速度。通过优化这些系数,工程师可以创建更具响应性和能效的系统。此外,影响系数不仅限于工程应用。在经济学和社会科学中,它也很普遍,研究人员研究各种因素如何影响经济指标或社会行为。例如,经济学家可能会分析利率对消费者支出的影响系数,为政策制定者提供有价值的见解。总之,影响系数是一个跨越多个学科的基本概念。它作为理解变量之间关系和根据这些关系做出明智决策的重要工具。无论是在工程、经济学还是社会科学中,掌握影响系数都增强了我们预测结果和优化系统以获得更好性能的能力。随着我们在技术和研究方面的不断进步,理解和应用影响系数的重要性只会增加,强调了其在理论和实际应用中的相关性。