... 非线性动力学原理(Theory of Nonlinear Dynamics) 相空间重构(Reconstruction of Phase Space) 李亚普诺夫指数(Lyapunov Exponents) ...
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Based on reconstruction of phase space of dynamical system, we research the divinable capability of time series from the point of view of nonlinear dynamics by constructing recurrence plot.2.
本文主要的研究内容如下： 1．在动力系统的相空间重构基础上，通过构造递归图，从非线性动力学的角度研究了时间序列的可预测性。
参考来源 - 基于神经网络与混沌理论的非线性时间序列预测研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Also, by using the reconstruction phase space theory, the time sequence of accidents was analyzed and predicted.
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。
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。
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.
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。
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