Then, the chaotic forecasting models are established to forecast each part respectively.
然后对分解后的各部分分别建立混沌模型进行预测；
The chaotic forecasting of power load is based on reconstructing phase space of the power load series.
电力负荷的混沌预测是建立在重构电力负荷序列的相空间基础之上的。
Reconstructing proper ph ase space to spread space orbit completely is the precondition of further chaotic series forecasting.
重构合适的相空间，使空间轨道充分展开是进一步混沌序列预测的前提。
The forecasting method based on non linear chaotic model is not only reliable to small data sets, but also of little account amount and easy to handle.
这种建立在非线性混沌改进模型基础上的预测方法不仅对小数据组可靠，而且计算量小、相对容易操作。
A method based on radial basis function networks for forecasting chaotic time series is proposed.
给出了基于径向基函数网络的混沌时间序列预测的方法。
Since the double period component can be forecasted accurately, the load forecasting errors are chiefly caused by the chaotic component.
双周期成分是可以精确预报的，负荷预报的误差主要来自混沌成分。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
基于混沌时间序列的局域线性预测模型，提出了多嵌入维的短期负荷预测方法。
Finally, the forecasting results are evaluated, and the effect factors of the results are analysed by using of a chaotic time series created by logistic map as an example.
本文最后以一个人工混沌时间序列为例，对该预测技术的应用效果及其影响因素给予评价和分析。
Predictable time scale of the evolution of chaotic rock mass dynamic systems is one of the most important parameters in nonlinear forecasting theory.
岩体混沌动力系统演化过程的可预测尺度是非线性预测理论研究的重要内容。
The research on forecasting method of chaotic economic time series is the important part of the nonlinear chaotic economic dynamic systems.
混沌经济时间序列的预测方法研究是混沌经济非线性动力系统的重要内容。
According to the chaotic characteristic of power load, fuzzy support vector based kernel regression method is proposed for load forecasting.
根据电网负荷混沌性的特点，提出一种基于模糊支持向量的核回归方法进行电力系统的负荷预测。
Finally, the forecasting results of chaotic models are reconstructed based on wavelet packet theory. By doing so, the forecasting of system feature reference data series can be made.
最后，基于小波包理论将混沌模型预测的结果予以小波包重构，实现对系统特征参数序列的预测。
Chaotic local forecasting of multivariate time series based on electric propulsion ship power load was proposed for improving the forecasting accuracy of electric propulsion ship power load.
为提高电力推进船舶电力负荷预测精度，提出电力推进船舶电力负荷的多变量混沌局部预测。
Finally, the forecasting results of chaotic models are reconstructed based on the wavelet packet theory and the forecasting result of the original time series can be obtained.
再将混沌模型预测的结果进行小波包重构，则得到原始时序的预测结果。
Forecast result indicate that comparing with traditional forecasting method, chaotic time series method can improve the precision and reliability of forecast result.
预测结果表明，与传统的预测方法相比，混沌时间序列预测的精度和可信度得到了提高。
Optimal choice method of the nearest neighboring points and adding weight one-rank local region method is introduced on the nearest neighboring forecasting method of chaotic time series.
针对混沌时间序列的最近邻域预测法，提出了改进的最近邻域点优化选择方法和加权一阶局域线性预测法。
Then new load forecasting methods are developed based on the chaotic phase space reconstruction, in which climate factors are considered.
在混沌相空间重构局域法的基础上提出了几种新的预测方法，并将气象因子引入到了混沌预测中。
According to the nonlinear characteristics of landslide displacement time series, the nonlinear chaotic model is presented applying the forecasting method of chaotic time series.
根据滑坡位移时间序列的非线性性质，应用混纯时间序列预测方法，建立滑坡预测的非线性混纯模型。
According to the nonlinear characteristics of landslide displacement time series, the nonlinear chaotic model is presented applying the forecasting method of chaotic time series.
根据滑坡位移时间序列的非线性性质，应用混纯时间序列预测方法，建立滑坡预测的非线性混纯模型。
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