As a phenomenon found in non-linear dynamic system, chaos is deterministic and random-like.
混沌现象是非线性动力系统中一种确定的、类似随机的过程。
Successive function method is presented to determine the period of stable non linear dynamic system.
本文建立确定非线性动力系统的周期的新方法——后继函数法。
DC-DC switching converter is a time-variant and non-linear dynamic system, and it is difficult to analyze and design.
DC开关变换电路是一个时变的、非线性的动态系统，它的分析与设计一直是一个难题。
It is presented in this paper a new geometrical method to determine the stability of motion of a linear dynamic system.
本文提出一种确定线性系统运动稳定性的几何方法。
The main idea of Kalman filtering is to describe the linear dynamic system using state equation and measurement equation.
卡尔曼滤波的主要思想，是用状态方程和量测方程描述线性动态系统。
Because of the meshing stiffness of a gear pair, the governing equation denotes a linear dynamic system with periodic time-varying coefficient.
由于齿轮副啮合刚度的影响，动力学方程序代表了一个具有时变系数的线性动力系统。
As stock market is a kind of complex non-linear dynamic system, the prediction results of traditional prediction technology are unsatisfactory.
股票市场是一个复杂的非线性动态系统，利用传统的时间序列预测技术预测效果不理想。
It has also been shown that the algebraic dynamics might be generalized from the linear dynamic system with a semi-simple Lie algebra to that with a general Lie algebra.
结果表明代数动力学方法对于具有非半单李代数结构的线性动力系统仍然适用。
A method of stock price prediction is presented by hypothesis of stock market being non-linear dynamic system and analyzing method of chaos theory for chaos time series in this paper.
根据股票市场是非线性动力系统的假设，利用混沌理论对混沌时间序列的分析方法，提出了股票价格预测方法。
Stock market is a complex non-linear dynamic system. It is difficult to reflect market with the trait of more factors, non-linear and time variety using the traditional timing prediction technology.
股票市场是一个复杂的非线性动态系统，利用传统的时间序列预测技术很难反映市场变化的多因素，非线性、时变性等特点。
A novel neural network model, named delayed standard neural network model (DSNNM), is proposed, which is the interconnection of a linear dynamic system and a bounded static delayed nonlinear operator.
提出一种新的神经网络模型—时滞标准神经网络模型(DSNNM)，它由线性动力学系统和有界静态时滞非线性算子连接而成。
A novel neural network model, named delayed standard neural network model (DSNNM), is proposed, which is the interconnection of a linear dynamic system and a bounded static delayed nonlinear operator.
提出一种新的神经网络模型—时滞标准神经网络模型(DSNNM)，它由线性动力学系统和有界静态时滞非线性算子连接而成。
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