If you only see the date of market volatilities in pure time sequence, such as Figure 4, the explanation may be simpler and clearer.
在时间序列中,时间通常是自变量,目标通常是对未来进行预测。
In a time series, time is often the independent variable and the goal is usually to make a forecast for the future.
在耦合通道中,根据时间序列关系实现能量传递和数据交换。
In the coupling channel, the energy transfer and data exchange are realized according to the time sequence relationship.
在訓練過程中,节点(或区域)接收空间模式的时间序列作为其输入。学习过程包括两个阶段:.
During training, a node(or region) receives a temporal sequence of spatial patterns as its input. The learning process consists of two stages.
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.
借助于机器学习,Medeiros可以用相同数量的数据生成时间序列的图像。
With machine learning, Medeiros can create a time sequence of images from the same amount of data.
仍然有时间序列数据的地方-例如,特别是在查看客户行为时-但分析世界正在发生变化。
There is still a place for time-series data- particularly, for example, in looking at customer behaviour- but the world of analytics is changing.
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.
利用国家、跨国和时间序列数据进行研究,已找到两性平等指标与经济增长率之间的积极增效关系证据。
Studies using national, cross-country and time-series data have found evidence of positive synergies between indicators of gender equality and rates of economic growth.
Such information includes time-series satellite images, digital elevation models, geophysical datasets, hydrological models, geochemical databases and models of soils and groundwater.
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.
For developing the cointegrated VAR(vector autoregressive) method, which provides a flexible framework to study short- and long-term effects in economic time-series data.
While time series features and inputs can be manually loaded into the vanilla LSTM model, this approach is tedious and error-prone.
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.
Swaminathan使用时间序列图、直方图、饼图,“而我还使用热图来确定过程循环时间的变化。
He uses time series plots, histograms, pie charts,“and I also use heat maps to determine the variation in the process cycle times.”.
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