分析了时间序列的概念，在逻辑和应用的基础上，提出了空间序列概念，并将小波分析应用于空间序列概念。
On the basis of analyzing time sequence concept, logic and application, puts forward the space sequence concept, applies the wavelet analysis on space sequence concept.
这一概念是对线性偏自相关的一般化，由它可以得到度量时间序列预测复杂性的定量方法。
By means of it, we could get the quantitative method to measure the intrinsic prediction complexity of time series.
这一概念是对线性偏自相关的一般化，由它可以得到度量时间序列预测复杂性的定量方法。
The concept is the generalization of partial autocorrelation. By means of it, we could get the quantitative method to measure the intrinsic prediction complexity of time series.
模糊时间序列法不同于经典时间预测之处在于其引入了隶属函数的概念，在序列的预测演算中起到重要作用。
The fuzzy time series forecasting differ from classic time series forecasting is lead in the conception, named membership function which contribute much to figure the method.
建立多粒度时间序列的数学模型，并对提取模糊规则中所涉及的一些基本概念作出定义。
After the mathematical model of multiple granularity time series is established, some notations related to the rule discovering are defined.
给出了时间序列的变化序列和最近时间子序列的概念。
The time series varying series and the latest time sub-series are defined.
通过定义灰差、属性权重映射和灰置信水平等概念，提出假设检验多传感器时间序列相容性的灰否定域。
And grey rejection region of hypothesis testing for compatibility of time series of multi-sensor through definition of concepts, grey difference, attribute weight mapping and grey confidence level.
对时间序列提出半相依自回归模型的概念，并将其应用于我国通货膨胀与对外经济的预测。
The idea of seemingly unrelated autoregression model for time series was developed and applied to forecasts of Chinese inflation and foreign economy.
对时间序列提出半相依自回归模型的概念，并将其应用于我国通货膨胀与对外经济的预测。
The idea of seemingly unrelated autoregression model for time series was developed and applied to forecasts of Chinese inflation and foreign economy.
应用推荐