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。
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。
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。
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。
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。
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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