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。
Based on the chaotic theory of reconstructing phase space, an improved local average nonlinear noise reduction method is presented.
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。
This paper studies the chaotic time series of the slope displacement forecast. Using the theory of reconstructing phase space in the chaotic time series.
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。
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.
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。
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.
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。
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.
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.
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。
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