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。
Because the neural networks itself is a non linear dynamic system, it reflects the physical relations and dynamic properties among state variables of the climatic system.
由于神经网络本身是一个非线性动态系统，将其应用到短期气候变化预测这一非线性系统中，更能反映出气候系统状态量之间的物理关系和动力行为特性。
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。
By using this technique, the dynamic uncertainty contribution of an analytical measurement system comprises of uncertainties of quality control (QC) sample measurements and linear fitting.
本研究认为，采用该技术来进行分析测量系统的动态不确定度评估，其贡献量可由质控样品(QC)和线性拟合两部分合成。
In this paper, a deterministic linear economic system control model based on dynamic input-output theory is studied.
研究基于动态投入产出理论的确定性线性经济系统控制模型。
The optimal control problem of linear population dynamic system with age-structure in periodic environment was investigated.
在周期环境下，研究一类具有年龄结构种群线性动力系统的最优控制问题。
By Using an artificial neural network, the pole assignment problem of state feedback, output feedback and dynamic output feedback compensators in linear control system are discussed.
利用人工神经网络，讨论了线性定常控制系统关于状态反馈、输出反馈及动态补偿器的极点配置问题。
Combining it with the adaptive linear neuron network, the multiplex control strategy takes the dynamic errors and given signals of the system as input signals to the CMAC neural network.
该控制器以系统动态误差和给定信号量作为CMAC的激励信号，并与自适应线性神经元网络相结合构成系统的复合控制。
Firstly, fundamental conceptions of dynamic system and linear theory of cutting vibration are mentioned, which is used as the mainstay of nonlinear theory in the dissertation.
首先，本文讲述动态系统的一些基本概念和切削颤振的线性理论，作为非线性理论方面的研究成果的基础。
Using the stochastic vibration theory of continuous linear system, this paper studies the dynamic response problem of non-homogeneous soil foundation.
利用连续线性系统的随机振动理论，研究非均匀地基土层地震的动力反应问题。
A deterministic linear economic system control model based on dynamic input-output theory is derived.
文中基于动态投入产出理论导出了确定型线性经济系统控制模型。
A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.
结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。
The governing equation of the motion of a geared rotor-bearing system is developed according to linear dynamic theory.
根据线性动力学理论，建立了齿轮耦合的转子-轴承系统的运动方程。
The first network is BP network with one hidden layer, and the second network is linear status Neural network based on linear system dynamic equation.
第一种神经网络是具有一个隐层的动态前向BP网络，第二种是基于线性系统动态方程的线性状态神经网络。
The real optimal solution of nonlinear discrete dynamic system can be obtained from piecewise linear model with model reality differences by iterative solution.
在存在模型-实际差异的情况下，从分时段线性化多模型出发通过迭代运算可得到实际非线性离散动态系统的真实最优解。
The key technologies involved in the detection system are infinity dynamic target generation technology, linear motion control technology and stabilized turntable control technology.
整个系统涉及到的关键技术包括无限远动态目标发生技术、直线运动控制技术和稳定平台控制技术等。
All of these new results and contentions not only is out of the traditional analyzing method, but also embody the great effect of the theory of the signal and system on linear dynamic model.
这些全新的结论和观点是传统的分析方法无法做到的，也充分体现了信号与系统思想在线性动态模型分析中的巨大作用。
Advantages of the rapid frequency sweep technique for dynamic characteristics research of the linear system are also described.
特别对用快速正弦扫频试验方法研究线性系统动态特性的比点做了必要的说明。
Firstly, the whole control system can exhibit satisfactory dynamic result only by perfect matching the controller and composite pseudo linear system in the generalized inverse control.
首先，在广义逆系统控制中，控制器必须与复合伪线性系统的传递函数相互配合才能使整个控制系统达到满意的动态控制效果。
Firstly, the whole control system can exhibit satisfactory dynamic result only by perfect matching the controller and composite pseudo linear system in the generalized inverse control.
首先，在广义逆系统控制中，控制器必须与复合伪线性系统的传递函数相互配合才能使整个控制系统达到满意的动态控制效果。
应用推荐