parametrical

简明释义

英[ˌpærəˈmɛtrɪkəl]美[ˌpærəˈmɛtrɪkəl]

adj. 参（变）量的

英英释义

单词用法

同义词

反义词

例句

1.The findings are consistent with practical observations, indicating that the gray system analysis is an effective method for parametrical analysis of yarn strength.

这一规律与传统生产实践中人们的认知感相同，证明灰关联分析是棉纤维原料品质与成纱单纱强力因素分析的较佳方法。

2.The parametrical 3-D model is built and the output cam profile is drawn.

建立了参数化的三维模型，并用反转法绘制了摆动输出凸轮的轮廓曲线。

3.A parametrical uncertainty analysis of flexible multibody systems was presented.

研究了柔性多体系统的参数不确定性问题。

4.The steps were put forward about how to correct the parametrical errors of the sensors with parameter drifts.

对于出现了参数漂移的传感器，指明了克服参数漂移的修正措施。

5.In this article, the parametrical mathematic model, physical model and finite model that adapted for the main performance indexes of pipe extrusion were developed.

本文提出并建立了适合管材挤出主要性能指标的参数化数学模型、物理模型和有限元模型。

6.The control problem of space float zero point is discussed using the example of an one dimension float zero point control from which a conception of parametrical sense is put forward.

从一个一维的模糊浮零控制的实例出发，探讨空间模糊浮零的控制问题，提出参量传感的概念，本参量传感模型可运用于机器人作相对运动的研究之中。

7.This time is a parametrical design experiment, they made a big model in the office.

这次是一个参数化设计的实验，他们在办公室的一个大模型。

8.The conception of one dimension parametrical sense and its test hardware and software system are discussed in detail.

并且还讨论了一维参量传感的概念及测试硬件和软件系统。

9.Based on the procedure for parametrical optimization of MEWMA control chart, a case study of its application in surface mount process for the solder joint quality control was presented.

提出了MEWMA控制图参数优化方法，对电子产品装配中的表面贴片工艺过程的焊点质量控制进行了研究。

10.Based on the procedure for parametrical optimization of MEWMA control chart, a case study of its application in surface mount process for the solder joint quality control was presented.

提出了MEWMA控制图参数优化方法，对电子产品装配中的表面贴片工艺过程的焊点质量控制进行了研究。

11.The architect's design included parametrical 参数的 elements that adjusted based on environmental factors.

建筑师的设计包含了根据环境因素调整的参数的元素。

12.The research focused on parametrical 参数的 modeling of climate change impacts.

研究集中在气候变化影响的参数的建模上。

13.The engineer used parametrical 参数的 design methods to create a more efficient structure.

工程师使用了参数的设计方法来创建一个更高效的结构。

14.Using parametrical 参数的 equations, the scientists were able to predict future trends.

科学家们使用参数的方程来预测未来趋势。

15.In computer graphics, parametrical 参数的 curves allow for smoother transitions between shapes.

在计算机图形学中，参数的曲线允许形状之间更平滑的过渡。

作文

In the realm of mathematics and engineering, the term parametrical (参数的) plays a crucial role in defining various concepts and models. Understanding the significance of parametrical representations can greatly enhance one's ability to analyze complex systems and create efficient solutions. This essay aims to explore the importance of parametrical methods in different fields, including physics, computer graphics, and data analysis.Firstly, in physics, parametrical equations are often used to describe the motion of objects. For instance, when analyzing the trajectory of a projectile, one can use parametrical equations to represent its position as a function of time. This approach allows physicists to break down the motion into its components, making it easier to calculate variables such as velocity and acceleration. By utilizing parametrical forms, scientists can derive more accurate predictions about how an object will behave under certain conditions.Moreover, in computer graphics, parametrical modeling is essential for creating realistic images and animations. Designers use parametrical equations to define curves and surfaces, allowing for smooth transitions and intricate designs. For example, Bézier curves, which are widely used in vector graphics, rely on parametrical representations to create scalable and editable shapes. This flexibility enables artists and engineers to manipulate designs easily, facilitating creativity and innovation in digital art and product design.Furthermore, data analysis has also seen a significant rise in the application of parametrical methods. In statistics, parametrical tests assume that the data follows a specific distribution, typically a normal distribution. These tests, such as t-tests and ANOVA, are powerful tools for hypothesis testing and can provide insights into relationships within the data. By understanding the parametrical nature of the tests, researchers can make informed decisions about which statistical methods to apply based on the data characteristics.In addition to these fields, parametrical approaches are increasingly being integrated into machine learning algorithms. Many models, such as linear regression, rely on parametrical assumptions to predict outcomes based on input features. The parameters of these models can be adjusted during training to minimize errors and improve accuracy. As machine learning continues to evolve, the understanding of parametrical methods will become even more critical for developing robust and effective algorithms.In conclusion, the concept of parametrical (参数的) representation is fundamental across various disciplines, from physics to data analysis. Its ability to simplify complex systems and facilitate precise calculations makes it an invaluable tool for professionals in many fields. As technology advances and new challenges arise, the importance of mastering parametrical methods will only grow, underscoring the need for continued education and exploration in this area. By embracing the principles of parametrical analysis, individuals can enhance their problem-solving skills and contribute meaningfully to their respective domains.

在数学和工程领域，术语parametrical（参数的）在定义各种概念和模型方面发挥着至关重要的作用。理解parametrical表示法的重要性可以极大地增强人们分析复杂系统和创造高效解决方案的能力。本文旨在探讨parametrical方法在物理学、计算机图形学和数据分析等不同领域的重要性。首先，在物理学中，parametrical方程通常用于描述物体的运动。例如，在分析抛射物的轨迹时，可以使用parametrical方程来表示其位置随时间的变化。这种方法使物理学家能够将运动分解为其组成部分，从而更容易计算速度和加速度等变量。通过利用parametrical形式，科学家可以更准确地预测物体在特定条件下的行为。此外，在计算机图形学中，parametrical建模对于创建逼真的图像和动画至关重要。设计师使用parametrical方程定义曲线和表面，从而实现平滑的过渡和复杂的设计。例如，广泛应用于矢量图形的Bézier曲线依赖于parametrical表示法来创建可缩放和可编辑的形状。这种灵活性使艺术家和工程师能够轻松操纵设计，促进数字艺术和产品设计中的创造力和创新。此外，数据分析中也越来越多地应用parametrical方法。在统计学中，parametrical检验假设数据遵循特定分布，通常是正态分布。这些检验，如t检验和方差分析，是假设检验的强大工具，可以提供数据内关系的洞察。通过理解检验的parametrical性质，研究人员可以根据数据特征做出明智的决定，选择合适的统计方法。除了这些领域，parametrical方法也越来越多地融入机器学习算法中。许多模型，如线性回归，依赖于parametrical假设，根据输入特征预测结果。这些模型的参数可以在训练过程中进行调整，以最小化误差并提高准确性。随着机器学习的不断发展，对parametrical方法的理解将变得更加关键，以开发强大和有效的算法。总之，parametrical（参数的）表示法的概念在各个学科中都是基础，从物理学到数据分析。它简化复杂系统和促进精确计算的能力使其成为许多领域专业人士的宝贵工具。随着技术的进步和新挑战的出现，掌握parametrical方法的重要性只会增加，这突显了在这一领域继续教育和探索的必要性。通过接受parametrical分析的原则，个人可以增强他们的问题解决能力，并在各自的领域中做出有意义的贡献。