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- Similarity Search in high Dimension Time Series 高维时序数据的相似搜索
- This is called a deseasonalizing time series. 这叫调和时间数列。
- Time Series Analysis Hamilton J.D. 时间序列分析。
- Predicts the future values for a time series. 预测一个时序的未来值。
- Results A new mode of time series is established. 结果建立了一个新的时间序列模型。
- BF ironmaking process is highly complicated, whose operating mechanism is characteristic of non-linearity, time lag, high dimension, big noise and distribution parameter etc. 高炉炼铁是钢铁工业的上游主体工序，作为国民经济支柱产业的重要组成部分，它对钢铁工业的发展与节能降耗都有重要的地位。
- The fractal features of accident time series were studied by using G-P(Grassberger-Procaccia)arithmetic and correlation dimension of accident time series was calculated out. 研究结果表明:当嵌入维数达到8以后;该事故动力学系统具有稳定的关联维数4.;7;说明至少有5个因子在影响着事故时间序列的动态变化;并且该系统的有效自由度为8。
- The daily peak-valley load time series, which is proved chaotic by fractal dimension and Lyapunov exponent analysis, is constructed based on the daily load curves. 采用混沌相空间重构理论进行电力短期负荷预测,存在峰谷荷预测精度相对较差和预测参考点不易选取的问题。
- The cable tray is made of aluminum metal alloy by extruding, high dimension precision, high intensity, artistic shape. 桥架采用铝合金型材挤压成型,尺寸精度高;强度好,外形美观;
- With this method, the fractal scaleless band of time-series can be identified and the correlative dimension of time series can be calculated according to the parameters given. 该方法可按给定的置信度和相关性指标,逐步递归、识别并计算出一维时间序列的无标度区及关联维数。
- It can reduce classifier space with high dimension，and then learn a combiner in lower dimension. 该方法将高维分类器空间压缩至低维分类器空间，并在该空间内学习集成器。
- It is valid for high dimension dataset, and it can find outliers accurately and validly. 实验结果表明，该算法能够识别任意形状的聚类，对高维数据有效，能够很好的识别出孤立点。
- Finally, based on fractal dimension of the Rescaled Rangle Analysis, using the fractal theory and methods , the rainfall time series in Tonglushan Mine is studied by R/S Analysis. 最后，基于域重新标度极差分析的分形计维方法，利用有关分形的理论与方法，对铜绿山矿区降雨时间序列进行R/S分析。
- Tab to display the tree view of the time series model. 选项卡可以显示时序模型的树视图。
- As for the undivided linear sample space, the kernel function is needed to map onto another high dimension linear space. 对于线性不可分的样本空间，需要寻找核函数，将线性不可分的样本集映射到另一个高维线性空间。
- Returns predicted future or historical values for time series data. 返回时序数据的将来或历史的预测值。
- Time series data set comes with a temporal ordering. 时间序列数据集伴随着一个时间上的排序。
- If you spend one day in a higher dimension you would come back one year later. If we go lower, time is more dense. 如果你在一个较高维度停留一天,你会需要一年之后才返回。如果我们去低维度,时间会变得更加密集。
- This paper studies algebraic modeling of discrete time series. 摘要主要研究离散时间序列上的代数模型。
- Based on high order statistics (HOS) method, a time series model for the spot speeds of successive vehicles on a road section is developed. 基于高阶统计量方法 ,建立连续车流地点车速的时间序列分析模型。
