What is the translation of " 时间序列分析 " in English?

time series analysis
时间序列分析
时序分析
time-series analytics
时间序列分析
time-series analysis
时间序列分析
时序分析

Examples of using 时间序列分析 in Chinese and their translations into English

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时间序列分析是一种动态数据处理的统计方法。
Time series analysis is a statistical method of dynamic data processing.
增加了关于时间序列分析和扩散模型的新节。
It features new sections on time series analysis and diffusion models.
时间序列分析:预测与控制.
Time-series analysis: forecasting and control.
时间序列分析:预测与控制.
Time Series Analyses: Forecasting and Control.
时间序列分析:预测与控制.
Times Series Analysis: Forecasting and Control.
时间序列分析(1).
Time series analyses(1).
研究人员在主要受灾地区进行时间序列分析和现场调查。
We performed time-series analyses and field investigations in the main affected areas.
时间序列分析,Box-Jenkins模型或频谱分析;
Analyze time series, using Box-Jenkins models or spectral analysis;
平稳性是时间序列分析中很重要的一个概念。
Stationarity is an important concept in time series analysis.
时间序列分析是建立在这样一个设定基础上的,与过去需求相关的历史数据可用于预测未来的需求。
Time Series analysis is based on the idea that data relating to past demand can be used to predict future.
此外,卡尔曼滤波器是时间序列分析中广泛应用的概念,用于信号处理和计量经济学等领域。
Furthermore, the Kalman filter is a widely applied concept in time series analysis used in fields such as signal processing and econometrics.
三种最常见的使用模式是时间序列分析、实时仪表板和实时警报与通知。
The most common usage patterns, AWS said,are time-series analytics, real-time dashboards, and real-time alerts and notifications.
与TrendMiner公司一起,我们将提供一个领先的流媒体和视觉时间序列分析平台,这将是一个独特的组合。
Together with TrendMiner,we will be able to offer a leading streaming and visual time-series analytics platform- A unique combination.”.
例如,您可以利用时间序列分析根据历史销量数据预测未来每月的冬外套销量。
For example, you could use time series analysis to forecast the future sales of winter coats by month based on historical sales data.
时间序列分析表明,经济因素对公众对气候变化的关注程度影响最大。
A time-series analysis indicates that elite cues and structural economic factors have the largest effect on the level of public concern about climate change.
介绍时间序列分析属于统计学的一个分支,涉及有序,经常是时间数据的研究。
Time-series analysis belongs to a branch of Statistics that involves the study of ordered, often temporal data.
与TrendMiner公司一起,我们将提供一个领先的流媒体和视觉时间序列分析平台,这将是一个独特的组合。
Together with TrendMiner,we will be able to offer a leading streaming and visual time-series analytics platform in a few months- a unique combination.”.
数据处理(数据挖掘,时间序列分析和预测,图像处理等)。
Data processing(data mining, time series analysis and forecasting, image processing, etc.).
很多类型的机器学习问题都需要时间序列分析,其中包括分类、聚类、预测和异常检测。
Many types of machine learning problems require time series analysis, including classification, clustering, forecasting, and anomaly detection.
时间序列分析在相关应用时,可以揭示意想不到的趋势,提取有用的统计数据,甚至预测未来的趋势。
When relevantly applied, time-series analysis can reveal unexpected trends, extract helpful statistics, and even forecast trends ahead into the future.
时间序列分析是一个非常古老的领域,包含各种跨学科的问题,每种陈述问题都有其自身的挑战。
Time Series Analysis is a very old field and contains various inter-disciplinary problem statements, each with their own set of challenges.
能够处理历史和当前数据的预测分析模型结合了多个变量,并使用逻辑回归、决策树和时间序列分析
The predictive analytics model capable of processing historical and present data combines multiple variables and uses logistic regressions,decision trees, and time-series analysis.
耳熟能详的获奖主题有国际贸易、时间序列分析、福利经济学、经济增长、金融市场、经济发展和宏观经济理论。
The well-known winning themes include international trade, time series analysis, welfare economics, economic growth, financial markets, economic development and macroeconomic theory.
认知系统可以对不同的数据集进行分析,使用相关分析和时间序列分析来预测故障。
Cognitive systems can run analysis on different data sets,using correlation analysis and time-series analysis to predict failures.
可行的方法是使用时间序列分析,对生产者和消费者行为提出一系列或许是限制性的假说。
This could be done using time series analysis, adopting a range of perhaps restrictive hypotheses concerning producers' and consumers' behaviour.
Statsbot团队发表过一篇关于使用时间序列分析来进行异常检测的文章。
The Statsbot teamhas already published the article about using time series analysis for anomaly detection.
在本文中,我们将看到如何在递归神经网络的帮助下执行时间序列分析
In this article,we will see how we can perform time series analysis with the help of a recurrent neural network.
这个教程将让你了解为什么要使用时间序列以及时间序列分析的重要性。
In this tutorial, you will learn why should you use time series andwhat is the importance of time series analysis.
这些产业分析所采用的工具,和科学家在执行发现模式和异常的分析时所使用的工具一样,比如时间序列分析和分类。
These industrial analyses frequently use techniques similar to analyses run by scientists for discovering patterns and outliers,such as time series analysis and classification.
中国38个大城市的细颗粒物空气污染和死亡率:时间序列分析.
Particulate air pollution andmortality in 38 of China's largest cities: time series analysis.
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