R还具有更多用于时间序列分析的工具。
R provides still more tools for time series analysis. For example, we can plot the autocorrelation function for the living room temperature.
然而，通信图更看重对象的协作，而不是时间序列。
However, a communication diagram focuses more on showing the collaboration of objects than on the time sequence.
序列图：序列图说明了交互中对象之间消息的时间序列。
Sequence diagram: a sequence diagram illustrates the chronological sequence of messages between objects in an interaction.
讨论、比较了基于神经网络和基于时间序列的预测模型。
It discusses and compares the forecasting models using neural networks and using time series.
它们的相似性依赖于原观测场时间序列在相空间中的结构。
Their similarity depends on the structure in the phase space of the time series of original observations fields.
文章最后用GARCH模型对组合收益率时间序列进行了模拟。
Finally, this paper USES GARCH model regressing the portfolio return time series.
试验表明，用此方法分析中国证券市场的股票时间序列非常有效。
Experiments have shown that this method can efficiently analyze the time series of Chinese Stock Market.
目前，在时间序列分析领域，孤立点的挖掘越来越多的受到重视。
At present, outlier mining has attached a great importance in the field of time series analysis.
本文利用微分方程的数值解法对时间序列建模预测作了新的尝试。
In this paper, the numerical solution of differential equation is employed to establish the forecasting model of the time series.
由于在这种方法中我们是对内核进行单步跟踪，因此无法模拟精确的时间序列。
Since you step through the kernel in this approach, you will not have the exact timing sequence.
时间序列估算显示过去的二十年中英格兰和美国的高血清总胆固醇控制得到改善。
Time series estimates showed improved control of high total serum cholesterol over the past two decades in England and the United States.
我们需要覆盖更多国家、更多时间序列的卫生、教育、基础设施和性别的核心数据。
We need more core data across countries and time periods on health, education, infrastructure, and gender.
当白噪声干扰方向控制器时，可以用采样数据建立时间序列的自回归模型。
When a white noise interferes with the controller, a time series autoregressive (AR) model is built using the sampled experimental data.
所以如果您的大数据基础架构必须处理时间序列，Informix已足够完成此工作。
So if your big data infrastructure must cope with time series, Informix is more than up to the job.
我绘制了一条房屋价格的时间序列曲线…，就是那条红色的线，你可以看到它的历史走势。
I constructed a series of home prices -that's the red line and the red line is -you can see how it's moved through history.
本文提出了模糊时间序列分析的理论和方法，研究了模型形式及其参数估计问题。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
介绍了在批量处理时间序列情况下，BP神经网络辨识预测电力负荷的方法和步骤。
The method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
用时间序列分析方法对镗削加工误差进行了分析和建模，建立了相应的AR误差模型。
Analysis and modeling are made for the boring error by using time sequential analysis way, and corresponding ar error model is established.
地图之光组织也采取类似的时间序列研究途径，利用地图呈现出资金对于美国国会投票的影响情况。
MAPlight used a similar time-lapse approach to show the influence of money on congressional votes.
嵌入的ts()函数通过向量glarp$livingroom创建一个时间序列对象。
The embedded ts() function creates a time series object out of the vector glarp$livingroom.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
提出了两种类型负荷预报模型，基于建筑模型辩识的负荷预报法和基于时间序列的负荷预报法。
Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis.
本文根据历史地震资料按最大熵谱方法对全球及全球各地震区强震活动的时间序列进行了分析。
Based on the historical seismic data, we have analysed the time sequence of the global and regional strong earthquake activities by using the maximum entropy spectrum method.
当一个使用时间序列的应用程序被部署到一个集群时，一个集群成员中只有一个消息端点被激活。
When an application that USES event sequencing is deployed on to a cluster, it is required to have a message endpoint in only one cluster member to be active.
你甚至不必对这些时间序列数据进行分析，因为这个工具允许你做一个散点图来比较不同数据里的搜索趋势。
You don't even have to produce an analysis on time-series data, as the tool lets you do a scatter plot to compare search trends between different data.
本文介绍了电子对抗中对混沌时间序列进行预测的一种数学模型和一种基于混沌序列的反侦察系统。
In this paper, the prediction of mathematical model for chaotic sequence in electronic antagonism and the anti-reconnaissance based on chaotic sequence are presented.
本文介绍了电子对抗中对混沌时间序列进行预测的一种数学模型和一种基于混沌序列的反侦察系统。
In this paper, the prediction of mathematical model for chaotic sequence in electronic antagonism and the anti-reconnaissance based on chaotic sequence are presented.
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