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.
采用延迟坐标状态空间这种相空间重构方法，对非线性系统中的单一时间序列进行分析，从中恢复出系统内部存在的非线性动力学特性。
The delay-coordinate method is adopted to reconstructed the space phase, and to analyze the single time series in the non-linear systems and resume the nonlinear kinetics characteristics.
应用重构相空间理论对安全事故次数的时间序列进行了分析和预测。
Also, by using the reconstruction phase space theory, the time sequence of accidents was analyzed and predicted.
提出了一种基于相空间重构与支持向量机预测滑坡位移的新方法。
We presented a novel method for forecasting landslide displacement based on phase space reconstruction and support vector machine.
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.
通过对系统相关时序的相空间重构与分维分析，探讨了系统随加热功率变化的非线性演化规律。
Further, through the phase space reconstruction of relating time series and fractal analysis, discussion to nonlinear evolution of the system with varying heating power is delivered.
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.
基于相空间重构的非线性预报思想，建立一个时滞的BP神经网络模型，采用贝叶斯正则化方法提高BP网络的泛化能力。
Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizing Bayes' regularization.
建立了基于相空间重构和径向基神经网络的压气机机匣静压的预测模型。
A novel forecasting model for compressor casing wall pressure based on phase space reconstruction and radial basis function network was established.
论文结合相空间重构理论与一类分类方法提出一种时间序列中的异常值检测方法。
A new method of outlier detection in time series is proposed in this paper, which is based on phase space reconstruction theory and one-class classification method.
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.
利用伪最邻近点法确定相空间重构的最小嵌入维数。
The minimum embedding dimension of reconstruction is confirmed by the false nearest neighbours method.
结合相空间重构理论确定网络结构，使网络能够包含有效的预测信息。
The structure of the network is defined by integrating the theory of reconstructing phase space, which makes the efficient prediction information be contained in the network.
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.
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.
提出一种基于相空间重构的最小二乘支持向量机(LS - SVM)的股票价格预测方法。
A phase space reconstructed forecasting method of stock price was proposed based on least squares support vector machines (LS-SVM).
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.
一种新的基于相空间重构和偏差计算技术的方法已被应用于金融市场预测。
A new methodology based on state space reconstruction and divergence calculation techniques has been developed for financial time series forecasting.
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.
论述了延时嵌入相空间重构方法及其伪相图的获取技术，将这一方法用于大机组非线性故障的定性特征提取。
The theory of phase space reconstruction with time delay embedding is explained comprehensively in this paper, and used to extract qualitative features of nonlinear fault in large rotating machinery.
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.
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.
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.
采用相空间重构和关联维数方法，研究了广西沿岸月平均海平面变化的分形特征。
By using the methods of phase space construction and correlation dimension, the fractal character of sea level variation along Guangxi coast was analyzed.
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.
本文基于小波分析理论和相空间重构技术，根据大坝裂缝的实测资料，提出了裂缝时变规律分析方法。
The approach based on wavelet theory and phase space reconstruction for analyzing the law of time-dependent deformation of crack according to the observation data of dam is proposed.
用灰色理论研究充填体变形在相空间中相点距离的演变规律，建立了重构相空间的灰色预测模型。
Analyzing the change laws of distance in phase space to deformation in backfill, a prediction model is built based on phase space reconstruction with gray theory.
研究了基于相空间重构的递归图及定量递归分析。
The recurrence plots and quantification recurrence analysis on the basis of state space reconstruction are explored.
首先用时间延迟方法将一维时间序列重构到高维相空间。
First, one dimensional time series are embedded into a high dimensional phase space according to time-delay theory.
首先用时间延迟方法将一维时间序列重构到高维相空间。
First, one dimensional time series are embedded into a high dimensional phase space according to time-delay theory.
应用推荐