混沌理论用于研究复杂非线性动态系统。
Chaos theory is defined as the study of complex nonlinear dynamic systems.
神经网络为未知非线性动态系统的建模提供了一条新途径。
Multilayered neural network offers a new exciting alternative for modelling unknown nonlinear dynamical system.
用非线性动态系统的观点看待神经元的静息和周期放电现象。
The theory of nonlinear dynamical system was used to describe the phenomenon of neural rest and spikes.
提出一种基于支持向量回归机(SVR)的非线性动态系统建模方法。
A modeling method for nonlinear dynamic system based on Support Vector Regression (SVR) was proposed in this paper.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
从非线性动态系统的定性理论出发，研究非线性控制和优化系统中的浑沌运动。
Chaotic behaviours in nonlinear control and parameter-optimized systems are studied in this paper from the viewpoint of qualitative theory of nonlinear dynamical systems.
在确定性的非线性动态系统中，混沌理论是针对不稳定的非周期行为的量性研究。
Chaos Theory is the qualitative study of unstable aperiodic behaviour in deterministic non-linear dynamical systems.
仿真实例进一步表明，采用神经网络建立未知非线性动态系统的在线模型具有可行性。
The simulation results are presented to demonstrate that the model of an unknown nonlinear dynamical system is built with the multilayered feedforward neural network model.
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。
As stock market is a kind of complex non-linear dynamic system, the prediction results of traditional prediction technology are unsatisfactory.
本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
本文研究弱非线性动态系统“黑箱”建模的理论和方法，并简要给出根据此方法建模的结果。
The modeling theory and method of black box 'for weakly dynamic nonlinear systems are studied and the modeling results for the practical systems are also presented in the paper.
针对复杂非线性动态系统的模糊建模问题，基于T -S模型提出一种自组织模糊辨识算法。
In view of modeling problems of nonlinear and dynamic system, a self organizing fuzzy identification algorithm (SOFIA) is presented based on t s model in this paper.
研究结果表明，此方法对于一般动态系统，特别是复杂的非线性动态系统的建模有其独特的优点。
The simulation results showed that this method had its own advantage in modeling general dynamical system, especially in modeling complex non-linear dynamical system.
讨论了利用仅含一个隐层的前馈多层神经网络来辨识离散时间非线性动态系统时的模型检验问题。
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.
非线性动态系统的内模控制要求建立精确的对象正模型和逆模型，这对于大多数实际对象是难以做到。
In the internal model control design for nonlinear systems, the precise forward and inverse models of plant are required, but it is impossible in the majority of practical plants.
学术研究专注于非线性动态系统，个人研究宇宙模型，近年在创作一套阴阳物理学，及其非物质性理论。
His academic research focuses on Nonlinear System Dynamics, personal research in Universe Model, and developing a theory for the non-physical form of Ying-Yang Physics.
混沌作为一种非线性动态系统中的现象，受到了人们的重视，研究工作者纷纷探索他在通信中的可能应用。
Chaos has been paid attention as a phenomenon found in nonlinear dynamic system. Researchers are looking for its possible application in communication.
同样，大型火电机组的负荷系统是一个多变量非线性动态系统，它的动态特性随工况的变化而大范围变化。
Load system of the large scale power plant's unit as well, is a multi-variable nonlinear dynamic system, and the dynamic characteristic will change with the different operating condition.
针对双线性模型与实际系统之间的差异，提出一种基于双线性模型求解非线性动态系统最优控制的迭代算法。
This paper presents an iterative algorithm of optimal control for discrete time nonlinear systems, according to the differences of the real system and its bilinear model.
针对带有未知有界噪声的非线性动态系统的鲁棒辨识问题，提出了一种新的非线性动态系统的集员辨识算法。
A new set membership identification algorithm was proposed for the robust identification problem of nonlinear dynamic systems with unknown but bounded noises.
分析了小波网络的性能，利用小波网络的非线性函数逼近能力，对非线性静态系统和非线性动态系统进行辨识。
The properties of the wavelet networks are analyzed. According to the approximation ability of wavelet networks, the nonlinear static system and the nonlinear dynamic system can be identified.
在非线性动态系统中可能出现分岔现象，分岔理论为我们研究社会经济系统中的某些异常现象提供了一种新方法。
The bifurcation would occur in the nonlinear dynamical systems. The theory of bifurcation provides us a new method to explore the strange phenomena in the social-economic systems.
首先用一种人工神经网络和线性动态系统的串级模型对非线性动态系统建模，这种模型具有很大的确定性与通用性。
First, a cascade model with neural networks and linear dynamic systems, which is determinate and general, is used in modeling the nonlinear dynamic systems.
针对一类非线性动态系统，提出了一种新的基于多层神经网络的自适应预测器，并对基于神经网络的预测机理进行了分析。
This paper develops a novel multilayer neural networks based on adaptive prediction technique for a class of nonlinear dynamical systems, and the prediction mechanism is analyzed .
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。
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.
本文针对一类非线性动态系统，提出了一种新的基于后向回归网络的自适应多步预测方法，并对基于神经网络的自适应预测机理进行了分析。
This paper develops a novel backpropagation networks based adaptive multistep prediction technique for a class of nonlinear dynamical systems, and the prediction mechanism is analyzed.
通过利用预测过程中产生的残差信息进行反馈矫正，保证了BM模型劫高的拟合精度和稳健的预测性能，增强了对复杂非线性动态系统的适应性。
The examples show that the scheme applied to predicting groundwater level regime is practical and efficient, and the BM can ensure high fitting precision, robust forecasting an…
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。
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.
这幅图片展示了曼德尔勃特集合(Mandelbrotset)与离散混沌动力系统(logistic map)之间的一致性，这解释了复杂而无序的行为可以由简单的非线性动态方程序中得出。
This graph shows correspondence between the Mandelbrot set and the logistic map, which explains how complex, chaotic behavior can arise from simple non-linear dynamical equations.
这幅图片展示了曼德尔勃特集合(Mandelbrotset)与离散混沌动力系统(logistic map)之间的一致性，这解释了复杂而无序的行为可以由简单的非线性动态方程序中得出。
This graph shows correspondence between the Mandelbrot set and the logistic map, which explains how complex, chaotic behavior can arise from simple non-linear dynamical equations.
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