accumulated error

简明释义

累积误差

英英释义

例句

1.The engineer realized that the accumulated error 累积误差 in the measurements affected the final design.

工程师意识到测量中的累积误差累积误差影响了最终设计。

2.To minimize accumulated error 累积误差, regular calibration of instruments is essential.

为了最小化累积误差累积误差，定期校准仪器是必不可少的。

3.A simulation revealed that the accumulated error 累积误差 over time could skew results significantly.

模拟显示，随着时间的推移，累积误差累积误差可能会显著扭曲结果。

4.The software update aimed to reduce accumulated error 累积误差 in data processing.

软件更新旨在减少数据处理中的累积误差累积误差。

5.In long calculations, even a small accumulated error 累积误差 can lead to significant inaccuracies.

在长时间的计算中，即使是一个小的累积误差累积误差也可能导致显著的不准确。

作文

In the realm of science and technology, precision is paramount. Whether it is in engineering, data analysis, or even everyday calculations, the accuracy of results can greatly influence outcomes. One critical aspect that professionals must consider is the concept of accumulated error, which refers to the total amount of error that builds up over a series of measurements or calculations. Understanding this concept is vital for ensuring reliability and validity in various fields. To illustrate the importance of accumulated error in practical scenarios, let us consider an example from engineering. Imagine a civil engineer tasked with designing a bridge. The engineer will take numerous measurements to ensure that the structure is safe and stable. However, if each measurement contains a small error, these errors can accumulate, leading to significant discrepancies in the final design. A minor miscalculation in the length of a beam or the angle of a support can result in a bridge that is not only unsafe but also costly to rectify. Therefore, recognizing and mitigating accumulated error is essential to avoid catastrophic failures. In addition to engineering, the concept of accumulated error is equally relevant in scientific research. When researchers conduct experiments, they often rely on precise measurements to draw conclusions. If they fail to account for accumulated error, their findings may be misleading. For instance, in a laboratory setting, a chemist measuring the concentration of a solution might inadvertently introduce small errors at each step of the process—whether through imprecise pipetting or fluctuations in temperature. Over time, these small inaccuracies can compound, leading to erroneous conclusions about the chemical reactions being studied. Thus, scientists must implement rigorous protocols to minimize accumulated error, ensuring that their results are as accurate as possible. Furthermore, accumulated error is not limited to physical sciences; it also plays a crucial role in data analytics and statistics. Analysts often work with large datasets, making calculations that inform business decisions or policy-making. If accumulated error goes unchecked in data processing, it can lead to flawed analyses and misguided strategies. For example, if an analyst is calculating the average sales over several months and fails to recognize the impact of small errors in each month's data, the resulting average may misrepresent the true performance of the business. This can lead to poor decision-making, ultimately affecting the company's profitability. To combat accumulated error, various strategies can be employed. One effective method is to use calibration tools and techniques that help ensure accuracy in measurements. Regularly calibrating instruments can significantly reduce the risk of accumulated error. Additionally, utilizing statistical methods such as error analysis can help identify potential sources of error and quantify their impact. By understanding the nature of accumulated error and implementing corrective measures, professionals across various fields can enhance the reliability of their work. In conclusion, the concept of accumulated error is a fundamental consideration in many disciplines. Whether in engineering, scientific research, or data analysis, recognizing the potential for errors to accumulate over time is crucial for achieving accurate and reliable results. As we continue to advance in technology and methodology, a thorough understanding of accumulated error will remain vital in ensuring the integrity and success of our endeavors.

在科学和技术领域，精确性至关重要。无论是在工程、数据分析还是日常计算中，结果的准确性都可能极大地影响结果。专业人士必须考虑的一个关键方面是累积误差的概念，它指的是在一系列测量或计算中累积的总误差。理解这一概念对于确保各个领域的可靠性和有效性至关重要。 为了说明累积误差在实际场景中的重要性，让我们考虑一个来自工程的例子。想象一下，一位土木工程师负责设计一座桥梁。工程师将进行大量测量，以确保结构安全稳定。然而，如果每个测量都包含小误差，这些误差可能会累积，导致最终设计中出现显著的差异。梁的长度或支撑的角度上的小计算错误可能导致桥梁不仅不安全，而且修复成本高昂。因此，认识和减轻累积误差是避免灾难性失败的关键。 除了工程之外，累积误差的概念在科学研究中同样相关。当研究人员进行实验时，他们通常依赖精确的测量来得出结论。如果他们未能考虑累积误差，他们的发现可能会产生误导。例如，在实验室环境中，一位化学家测量溶液浓度时，可能无意中在每个步骤中引入小误差——无论是通过不精确的移液还是温度波动。随着时间的推移，这些小的不准确性可能会累积，导致对所研究的化学反应得出错误的结论。因此，科学家们必须实施严格的协议，以尽量减少累积误差，确保他们的结果尽可能准确。 此外，累积误差不仅限于自然科学；它在数据分析和统计学中也发挥着至关重要的作用。分析师通常处理大型数据集，进行计算以为商业决策或政策制定提供信息。如果在数据处理中未能检查累积误差，则可能导致错误的分析和误导性的策略。例如，如果分析师在计算几个月的平均销售额时未能认识到每个月数据中小误差的影响，最终得到的平均值可能会错误地反映企业的真实表现。这可能导致糟糕的决策，最终影响公司的盈利能力。 为了对抗累积误差，可以采用各种策略。一种有效的方法是使用校准工具和技术，以帮助确保测量的准确性。定期校准仪器可以显著降低累积误差的风险。此外，利用统计方法，如误差分析，可以帮助识别潜在的误差来源并量化其影响。通过理解累积误差的性质并实施纠正措施，各个领域的专业人士都可以增强其工作的可靠性。 总之，累积误差的概念是许多学科中的基本考虑因素。无论是在工程、科学研究还是数据分析中，认识到误差可能随着时间的推移而累积的潜力对于实现准确和可靠的结果至关重要。随着我们在技术和方法论上的不断进步，对累积误差的透彻理解将在确保我们努力的完整性和成功中继续发挥重要作用。