predicting

简明释义

英[prɪˈdɪktɪŋ]美[prɪˈdɪktɪŋ]

v. 预测（predict 的 ing 形式）；预报；预言

英英释义

单词用法

同义词

反义词

例句

1.But polls are of limited use in predicting his future.

但民意调查决定不了他的未来。

2.Forecasting services for predicting energy consumption.

预测服务，可以预测电力消耗。

3.But nobody is predicting a sudden breakthrough.

但是没有人预测会有出现巨大的突破。

4.But predicting the committee's next move now is next to impossible.

但是现在预测委员会的下一步棋基本上就是无用功。

5.So my advice is to reduce problems by reading through your presentation beforehand and predicting potential points which could cause interruptions.

所以我的建议是，通过提前阅读你的演示文稿并预测可能会导致中断的潜在要点来减少问题。

6.Technological development can help us to be more accurate in predicting earthquakes to avoid casualties.

技术的发展可以帮助我们更准确地预测地震，以避免伤亡。

7.Weather scout is predicting clouds for the whole day.

天气侦察机全天候预报云层。

8.Predictably, this blog proved useless at predicting the winner.

和预期的一样，这份博客在预测获奖者上彻底押错了。

9.Predicting the future is always risky.

预测未来总是有风险的。

10.Analysts are predicting 预测 an increase in stock prices next quarter.

分析师们正在预测预测下个季度股票价格将上涨。

11.Scientists are predicting 预测 that climate change will lead to more extreme weather.

科学家们正在预测预测气候变化将导致更极端的天气。

12.The meteorologist is predicting 预测 rain for tomorrow.

气象学家正在预测预测明天的降雨。

13.Economists are predicting 预测 a recession in the coming year.

经济学家们正在预测预测明年将出现经济衰退。

14.The software is predicting 预测 customer behavior based on past purchases.

该软件正在预测预测基于过去购买的客户行为。

作文

Predicting the future has always been a fascinating endeavor for humanity. From ancient civilizations that looked to the stars for guidance to modern scientists using complex algorithms and data analysis, the art of predicting (预测) what lies ahead is a blend of intuition, knowledge, and technology. In today's world, where change is constant and rapid, the ability to accurately forecast events has become more critical than ever.One of the most significant areas where predicting (预测) plays a vital role is in weather forecasting. Meteorologists use sophisticated models that take into account various atmospheric conditions to make their predictions. For example, they analyze temperature, humidity, wind speed, and other factors to provide forecasts that help people prepare for storms, heatwaves, or cold fronts. The accuracy of these predictions can save lives and property, making predicting (预测) weather patterns an essential part of public safety.In addition to weather, predicting (预测) also extends to economics. Economists study trends and patterns in data to forecast economic growth, inflation rates, and employment levels. By analyzing past performance and current indicators, they attempt to provide insights into future economic conditions. Businesses rely on these forecasts to make informed decisions about investments, staffing, and production. A company that can successfully anticipate market trends through predicting (预测) can gain a competitive advantage over its rivals.Moreover, advancements in technology have revolutionized the field of predicting (预测). With the rise of big data and machine learning, organizations can now analyze vast amounts of information to identify patterns that were previously invisible. For instance, social media platforms use algorithms to predict user behavior and preferences, allowing them to tailor content and advertisements to individual users. This level of predicting (预测) not only enhances user experience but also drives revenue for companies.However, despite the advances in our ability to forecast, predicting (预测) remains an imperfect science. Many variables can influence outcomes, and unexpected events can disrupt even the most well-founded predictions. For example, the COVID-19 pandemic was largely unforeseen and had a profound impact on global economies, health systems, and daily life. It highlighted the limitations of our predictive capabilities and emphasized the need for adaptability in the face of uncertainty.In conclusion, predicting (预测) is a complex and multifaceted process that encompasses various fields, from meteorology to economics and technology. While we have made significant strides in enhancing our predictive abilities, it is crucial to recognize the inherent uncertainties involved. As we continue to develop new tools and methodologies for predicting (预测), we must also cultivate resilience and flexibility to navigate the unpredictable nature of the future. The journey of predicting (预测) will undoubtedly continue to evolve, offering both challenges and opportunities for those who dare to look ahead.

预测未来一直是人类一个迷人的努力。从古代文明通过观察星星来寻找指引，到现代科学家使用复杂的算法和数据分析，predicting（预测）未来的艺术融合了直觉、知识和技术。在今天这个变化迅速而不断的世界中，准确预测事件的能力变得比以往任何时候都更加重要。predicting（预测）发挥着至关重要作用的一个重要领域是天气预报。气象学家使用复杂的模型，考虑各种大气条件来进行他们的预测。例如，他们分析温度、湿度、风速等因素，以提供帮助人们为风暴、热浪或寒潮做准备的预报。这些预测的准确性可以拯救生命和财产，使得predicting（预测）天气模式成为公共安全的重要部分。除了天气，predicting（预测）还延伸到经济学。经济学家研究数据中的趋势和模式，以预测经济增长、通货膨胀率和就业水平。通过分析过去的表现和当前的指标，他们试图提供对未来经济状况的洞察。企业依赖这些预测来做出关于投资、人员配置和生产的明智决策。能够通过predicting（预测）成功预见市场趋势的公司，可以在竞争中获得优势。此外，技术的进步彻底改变了predicting（预测）领域。随着大数据和机器学习的兴起，组织现在可以分析大量信息，以识别以前不可见的模式。例如，社交媒体平台使用算法来预测用户行为和偏好，使他们能够针对个别用户定制内容和广告。这种程度的predicting（预测）不仅提升了用户体验，也为公司带来了收入。然而，尽管我们在预测能力上取得了进展，predicting（预测）仍然是一门不完美的科学。许多变量可以影响结果，意外事件可以破坏即使是最合理的预测。例如，COVID-19大流行在很大程度上是不可预见的，对全球经济、健康系统和日常生活产生了深远的影响。这突显了我们预测能力的局限性，并强调了在面对不确定性时适应能力的重要性。总之，predicting（预测）是一个复杂的多面过程，涵盖了从气象学到经济学和技术的各个领域。尽管我们在增强预测能力方面取得了重大进展，但认识到其中固有的不确定性至关重要。随着我们继续开发新的工具和方法来进行predicting（预测），我们还必须培养韧性和灵活性，以应对未来不可预测的性质。predicting（预测）的旅程无疑将继续发展，为那些敢于展望未来的人提供挑战和机遇。