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- time series vector 时间序列向量
- A new time series prediction method was put forward, based on fuzzy least square support vector machine (FLS-SVM). 摘要提出了一种基于隶属度模糊最小二乘支持向量机(FLS-SVM)的时间序列预测新方法。
- For multiple stationary time series Granger causality tests and vector autoregressive models are presented. 多平稳时间序列，"格兰其"成员因果律测试和自回归模式给的矢量。
- 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。
- The Support Vector Regression(SVR) is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems. 摘要 用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
- Chaos and support vector machine theory has opened up a new route to study complicated and changeable non-linear hydrology time series. 混沌和支持向量机理论为研究复杂多变的非线性水文时间序列开辟了新的途径。
- An improved method of support vector machine and its applications to financial time series forecasting Estimate of error bounds in the improved support vector regression. 大型工程对工程机械的正常安全运行提出了更高的要求,因此,现代大型工程机械普遍采用了电子监控与故障自诊断系统。
- A prediction modelling method was proposed for non-linear and non-stationary time series,based on empirical mode decomposition(EMD) and support vector regression(SVR). 提出了一种基于经验模式分解和支持向量回归的非线性、非平稳时间序列预测建模方法。
- For forecasting the gyro drift tendency of a missile,a prediction model based on support vector regression is established taking the time series of gyro's drift as study object. 为了预测某导弹陀螺漂移趋势,以该陀螺漂移角速度时间序列为对象,建立了基于支持向量回归机的预测模型。
- 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。
- 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。
- 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。
- The method can be used for time series pretreatment and the AR analyzing. 变换方法可用于有限长度时间序列的预处理。
- Simulation of Cunninghamia lanceolata growth by wave-type time series analysis. 杉木生长的起伏型时间序列模拟研究。
- You can define input data for the Microsoft Time Series model in two ways. 可以用两种方式定义Microsoft时序模型的输入数据。
- Applied a novel machine learning algorithm-least squares support vector machines (LSSVM) into coal washery daily water consumption times series prediction. 摘要针对选煤厂日用水量时间序列的预测问题，提出应用最小二乘支持向量机(LSSVM)这一新的机器学习方法来实现日用水量的短期预测。
