adjustable error

简明释义

可校正误差

英英释义

例句

1.In this experiment, we can modify the adjustable error 可调误差 to test the accuracy of our measurements.

在这个实验中，我们可以修改可调误差来测试我们测量的准确性。

2.The algorithm can accommodate an adjustable error 可调误差 range to improve its flexibility.

该算法可以容纳一个可调误差范围，以提高其灵活性。

3.The calibration process allows users to define their own adjustable error 可调误差 limits.

校准过程允许用户定义自己的可调误差限制。

4.The new software update includes an option to set the adjustable error 可调误差 for data input.

新的软件更新包括一个选项，可以设置数据输入的可调误差。

5.When setting up the device, make sure to adjust the adjustable error 可调误差 for optimal performance.

在设置设备时，确保调整可调误差以获得最佳性能。

作文

In today's fast-paced technological world, precision and accuracy are paramount in various fields such as engineering, data science, and software development. One concept that has gained significant attention is the idea of an adjustable error. This term refers to the ability to modify or tune the margin of error in measurements or calculations based on specific requirements or conditions. Understanding and effectively using adjustable error can lead to improved outcomes in numerous applications.To illustrate the importance of adjustable error, consider the field of engineering, where precise measurements are critical. Engineers often work with complex systems that require exact specifications to function correctly. However, due to various factors such as environmental conditions or material properties, achieving absolute precision can be challenging. By implementing an adjustable error framework, engineers can set acceptable limits for deviations in their measurements. This flexibility allows them to account for uncertainties while still maintaining the integrity of their designs.In software development, the concept of adjustable error plays a crucial role in algorithms and data analysis. For example, when developing machine learning models, it is essential to strike a balance between bias and variance. If a model is too rigid, it may not adapt well to new data, leading to high bias and poor performance. Conversely, if it is too flexible, it may overfit the training data, resulting in high variance. By incorporating adjustable error parameters into the model's training process, developers can fine-tune the model's complexity and improve its predictive capabilities.Moreover, adjustable error is also relevant in the realm of data visualization. When presenting data, it is vital to represent the information accurately while also considering the audience's understanding. For instance, if a graph displays data points with a high degree of variability, an adjustable error margin can help clarify the trends without overwhelming the viewer with excessive detail. This approach not only enhances the visual appeal but also aids in effective communication of the underlying message.The concept of adjustable error extends beyond technical fields; it can also be applied in everyday decision-making processes. In our daily lives, we often encounter situations where we need to make choices based on incomplete information. By recognizing our own adjustable error in judgment, we can make more informed decisions. For example, when planning a budget, one might set aside a contingency fund to account for unexpected expenses, thereby allowing for some degree of error in financial forecasting.In conclusion, the notion of adjustable error is a powerful tool that transcends various disciplines. Whether in engineering, software development, data visualization, or everyday life, understanding how to manage and apply adjustable error can lead to better decision-making and improved outcomes. As we continue to navigate an increasingly complex world, embracing this concept will undoubtedly enhance our ability to adapt and thrive in diverse situations.

在当今快速发展的科技世界中，精确度和准确性在工程、数据科学和软件开发等多个领域中至关重要。一个备受关注的概念是可调误差。这个术语指的是根据特定要求或条件修改或调整测量或计算中的误差范围的能力。理解并有效使用可调误差可以在众多应用中带来更好的结果。为了说明可调误差的重要性，我们考虑一下工程领域，在这里，精确的测量至关重要。工程师通常处理复杂的系统，这些系统需要精确的规格才能正常工作。然而，由于环境条件或材料特性的各种因素，实现绝对精确可能具有挑战性。通过实施可调误差框架，工程师可以为其测量设定可接受的偏差限制。这种灵活性使他们能够在保持设计完整性的同时，考虑不确定性。在软件开发中，可调误差的概念在算法和数据分析中发挥着关键作用。例如，在开发机器学习模型时，必须在偏差和方差之间找到平衡。如果模型过于严格，它可能无法很好地适应新数据，从而导致高偏差和较差的性能。相反，如果模型过于灵活，它可能会对训练数据进行过拟合，导致高方差。通过将可调误差参数纳入模型的训练过程中，开发人员可以微调模型的复杂性，提高其预测能力。此外，可调误差在数据可视化领域也很相关。在呈现数据时，准确地表示信息至关重要，同时也要考虑观众的理解。例如，如果图表显示的数据点具有高度变异性，可调误差范围可以帮助澄清趋势，而不会让观众因过多细节而感到困惑。这种方法不仅增强了视觉吸引力，还帮助有效传达潜在的信息。可调误差的概念超越了技术领域；它也可以应用于日常决策过程中。在我们的日常生活中，我们常常遇到需要根据不完整信息做出选择的情况。通过认识到我们自身判断中的可调误差，我们可以做出更明智的决策。例如，在制定预算时，人们可能会预留一笔应急基金，以应对意外开支，从而在财务预测中允许一定程度的误差。总之，可调误差的概念是一个强大的工具，跨越了多个学科。无论是在工程、软件开发、数据可视化还是日常生活中，理解如何管理和应用可调误差都可以带来更好的决策和改善的结果。随着我们继续在日益复杂的世界中航行，拥抱这一概念无疑将增强我们在各种情况下适应和蓬勃发展的能力。