时间序列分解 meaning in Chinese
decomposition of time series
time series decomposition
Examples
- Sea level prediction based on time series model
基于时间序列分解的海面变化预测 - Application of time alignment decomposition model in deformation forecast of dam
时间序列分解模型在大坝变形预测中的应用 - A new model is given by analyzing the different decomposition parts of the time series . the model called time series decomposition and reconstruction model is based on wavelet analysis . also , a new method of forecasting with wavelets is proposed
针对经济时间序列的特点，研究了时间序列在小波变换下的不同分解成分，提出了基于小波分析的时间序列分解及重构模型；在此基础上，给出了小波预测方法。 - The real runoff time series was divided into the high frequency item and the low frequency item with the help of the wavelet analysis first , then the two items were modeled by chaos theory and the stepwise regression algorithm , at last the output of the two models were added together .
论文首先借助小波分析，将实测径流时间序列分解为高频项和低频项两项，其次对这两项分别用混沌理论和逐步回归理论建模，其中混沌预报借助基于自组织法求解的的volterra级数来完成，然后将两者结果叠加起来。 - The paper decomposes the visitor ' s flow sequence made of different frequencies into the low and high frequencies in the multi - resolution analysis according to the characteristic of visitor ' s flow sequence frequencies and then restores the trend components according to the reconstruct principle of wavelet coefficients , in order to deduce the visitor ' s flow trend
摘要根据旅游流量的频率分布特性，运用小波分析将不同频率成分组成的时间序列分解成低频和高频成分，然后依据小波系数的重构原理还原时间序列的趋势成分，判断旅游流量时间序列的趋势变化。