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多变量混沌时间序列预测及其在股票市场中的应用 硕士论文-Multivariate Chaotic Time Series Prediction and Its Application in the stock market in the master' s thesis
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电力负荷预测,多变量时间序列线性回归预测方法-the research of local linear model of short-term electrical load on multivariate time series
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基于数据融合的多变量时间序列的相空间重构的方法-Method for reconstructing phase space of multivariate time series based on data fusion
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多变量时间序列相空间重构的优化,改进的方法避免使用虚假最近邻点法。-The optimization of phase space reconstruction of multivariate time series, the improved method avoids the use of false nearest neighbor method.
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多变量时间序列相空间重构中参数的选择,平均误差最小化法-The choice of parameters in the phase space reconstruction of multivariate time series, the method of minimizing the average error
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利用多因素小波变换和多变量时间序列模型的日前电价预测-Prediction of a day ahead electricity price using multivariate wavelet transform and multivariate time series model
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