perturbation sample

简明释义

微扰样品

英英释义

例句

1.The researchers collected a perturbation sample to test their hypothesis about climate change effects.

研究人员收集了一个扰动样本来测试他们关于气候变化影响的假设。

2.The perturbation sample allowed us to identify key variables affecting the outcome of the experiment.

这个扰动样本使我们能够识别影响实验结果的关键变量。

3.Using a perturbation sample helped improve the accuracy of our predictive models.

使用一个扰动样本有助于提高我们预测模型的准确性。

4.In our study, we used a perturbation sample to analyze the system's response to external changes.

在我们的研究中，我们使用了一个扰动样本来分析系统对外部变化的响应。

5.By applying a perturbation sample, we could simulate different scenarios in our model.

通过应用一个扰动样本，我们可以在我们的模型中模拟不同的场景。

作文

In the field of scientific research, particularly in areas such as physics and engineering, the concept of a perturbation sample is crucial for understanding complex systems and their responses to various influences. A perturbation sample refers to a specific set of modifications or variations applied to a system in order to analyze how these changes affect its overall behavior. This approach allows researchers to isolate variables and understand the dynamics at play within a given system.For instance, consider a scenario where scientists are studying the stability of a bridge under different environmental conditions. By creating a perturbation sample, they can simulate various stress factors such as wind pressure, temperature fluctuations, or even seismic activity. Each of these factors represents a perturbation, and by systematically altering them, researchers can gather data on how the bridge responds. This process not only helps in identifying potential weaknesses but also aids in designing more resilient structures.The importance of perturbation samples extends beyond engineering. In fields like ecology, researchers might use this concept to study the effects of climate change on ecosystems. By introducing controlled changes in temperature or precipitation levels, they can observe how different species adapt or struggle to survive. This type of experimentation provides critical insights that inform conservation efforts and policy decisions aimed at protecting vulnerable habitats.Moreover, the application of perturbation samples is not limited to physical systems. In social sciences, for example, researchers may introduce small changes in survey questions or sampling methods to assess how these adjustments influence respondents' answers. This technique can reveal biases or inconsistencies in data collection processes, ultimately leading to more accurate and reliable findings.In the realm of machine learning and artificial intelligence, the concept of a perturbation sample plays a vital role in model training and evaluation. By introducing slight variations to the input data, developers can test the robustness of their algorithms and ensure that they perform well under diverse conditions. This practice is essential for building systems that are not only effective but also resilient to unexpected changes in real-world scenarios.In conclusion, the notion of a perturbation sample is integral to various fields of study, providing a systematic way to analyze and understand the effects of changes within a system. Whether in engineering, ecology, social sciences, or technology, the ability to manipulate and observe the responses of systems to perturbations enhances our knowledge and informs better decision-making. As research continues to evolve, the use of perturbation samples will undoubtedly remain a key component in advancing our understanding of complex phenomena, ultimately contributing to innovation and progress across disciplines.

在科学研究领域，尤其是在物理和工程等领域，perturbation sample的概念对于理解复杂系统及其对各种影响的响应至关重要。perturbation sample指的是施加于系统的一系列特定修改或变化，以分析这些变化如何影响其整体行为。这种方法使研究人员能够隔离变量，并理解给定系统中的动态。例如，考虑一个科学家研究桥梁在不同环境条件下稳定性的场景。通过创建一个perturbation sample，他们可以模拟各种压力因素，如风压、温度波动，甚至地震活动。这些因素每一个都代表一个扰动，通过系统地改变它们，研究人员可以收集到桥梁如何响应的数据。这个过程不仅有助于识别潜在的弱点，还有助于设计出更具韧性的结构。perturbation samples的重要性不仅限于工程。在生态学等领域，研究人员可能会利用这一概念来研究气候变化对生态系统的影响。通过引入受控的温度或降水量变化，他们可以观察不同物种如何适应或挣扎求生。这种实验提供了关键的见解，能够为保护脆弱栖息地的保育工作和政策决策提供信息。此外，perturbation samples的应用并不限于物理系统。在社会科学中，例如，研究人员可能会在调查问题或抽样方法中引入小的变化，以评估这些调整如何影响受访者的回答。这种技术可以揭示数据收集过程中的偏见或不一致，最终导致更准确和可靠的研究结果。在机器学习和人工智能领域，perturbation sample的概念在模型训练和评估中发挥着至关重要的作用。通过对输入数据引入轻微的变化，开发人员可以测试其算法的稳健性，并确保它们在多种条件下表现良好。这一实践对构建不仅有效而且能够抵御现实世界中意外变化的系统至关重要。总之，perturbation sample的概念是各个研究领域不可或缺的一部分，提供了一种系统的方法来分析和理解系统内变化的影响。无论是在工程、生态学、社会科学还是技术领域，操纵和观察系统对扰动的响应的能力增强了我们的知识，并为更好的决策提供了信息。随着研究的不断发展，perturbation samples的使用无疑将继续成为推动我们理解复杂现象的关键组成部分，最终有助于各学科的创新和进步。