提出了一种基于混沌相空间重构理论的优化近邻点局部线性化跳频预测方法。
Based on the theory of chaos phase space reconstruction, a local linear forecasting approach on selecting the optimal neighbor points is presented in this paper.
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。
Then new load forecasting methods are developed based on the chaotic phase space reconstruction, in which climate factors are considered.
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。
The chaotic forecasting of power load is based on reconstructing phase space of the power load series.
本文对混沌时间序列分析中的相空间重构技术进行了分析和评价，总结了国内外学者的研究进展，并展望了未来的研究方向。
The technology of state space reconstruction used in chaotic time series analysis is remarked in this paper, and progress of the research is summarized, also the research of future is prospected.
在股价时序数据不存在噪音的假设前提下，利用相空间重构技术对中国股票市场的混沌与分形特征进行实证研究。
Under the hypothesis of empty of noise, utilizing technology of phase-space reconstruction to empirically study the chaos and fractal feature of China stock market.
提出了一种将混沌的相空间重构、小波包分析和神经网络相结合的新方法用于预测气-固循环流化床的颗粒浓度。
A new hybrid method for prediction of solids holdup in gas-solid circulating fluidized bed is proposed based on chaos phase reconstruction and wavelet package as well as neural networks.
这两个问题重构相空间受到强烈的噪声干扰，而无法用来表征系统的混沌特征。
These two problems make the phase space reconstructed suffer a heavy noise disturbance so that it can not be applied to characterize the chaotic system.
为了分析采动岩体变形的非线性特征，通过相空间重构分析了开采过程中岩体变形的混沌特征。
To analyze the nonlinear properties of rock mass affected by the mining, the chaos of rock mass deformation is researched by reconstructing the phase space.
利用奇异系统分析方法研究了低信噪比混沌信号的相空间重构。
The state space reconstruction of chaotic signals having low S/N ratio was investigated by means of Singular System Analysis (SSA).
基于混沌序列重构相空间理论，提出一种改进的局部平均非线性去噪方法。
Based on the chaotic theory of reconstructing phase space, an improved local average nonlinear noise reduction method is presented.
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。
Reconstructing proper ph ase space to spread space orbit completely is the precondition of further chaotic series forecasting.
基于混沌动力系统相空间的延迟坐标重构和双线性表达式，设计了预测混沌时间序列的双线性自适应预测滤波器。
Based on the delay-coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low-dimensional chaotic time series.
在水文预测中，应用混沌分析方法需解决相空间重构、时间序列的混沌性识别和混沌时间序列预测等关键技术。
In hydrological prediction, it is necessary that t he reconstruction of chaotics Tate space and the diagnosis of chaotic behavior as well as the chaotic pre diction are solved.
基于变分贝叶斯及相空间重构理论，提出了含噪混沌时间序列相空间域线性回归预测模型。
We present a linearly regressive prediction model for noisy chaotic time series phase space based on variational Bayesian and phase space reconstructive theory.
研究边坡位移混沌时间序列的预测，利用混沌系统的相空间重构理论，提出基于小波神经网络的边坡位移预测方法。
This paper studies the chaotic time series of the slope displacement forecast. Using the theory of reconstructing phase space in the chaotic time series.
基于混沌动力系统的相空间延迟坐标重构，利用混沌序列固有的确定性和非线性，提出了用于混沌时间序列预测的一种少参数非线性自适应滤波预测模型。
Based on the deterministic and nonlinear characterization of the chaotic signals, a new reduced parameter nonlinear adaptive filter is proposed to make adaptive predictions of chaotic time series.
基于混沌动力系统的相空间延迟坐标重构，利用混沌序列固有的确定性和非线性，提出了用于混沌时间序列预测的一种少参数非线性自适应滤波预测模型。
Based on the deterministic and nonlinear characterization of the chaotic signals, a new reduced parameter nonlinear adaptive filter is proposed to make adaptive predictions of chaotic time series.
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