对于线性非时变的无源二端口网络，在零初始条件下，若存在互易性及对称性，则其电路参数具有一定的特殊性。
If reciprocity and symmetry exist for passive two port networks of linear time invariant under zero intial condition, the circuit parameters will have some important characters.
利用模糊系统的径向高斯函数网络对一类非线性时变系统的状态进行了估计。
Radial Gaussian function networks based on fuzzy systems is applied to the state estimation of nonlinear time varying systems.
对于非线性，大时延、变参数的造纸过程灰份含量的控制，本文给出了一种神经网络控制方法。
In this paper, a neural network controller is designed for ash content control of papermaking process, neural networks are trained by using the output error of the controlled plant directly.
针对高速公路可变速度控制是一个非线性时变系统，难于用数学模型准确建模这一特点，提出了神经网络控制方法。
The variable speed control for freeway traffic is a nonlinear and time variable system, it is difficult to model with a mathematical model. A neural network control method is put forward.
本文针对船舶操纵这种非线性、时变参数控制对象，提出了一种采用神经网络自适应PID控制方案。
In this paper, according to nonlinear and time-varying parameter of ship maneuvering, the scheme of neural network adaptive PID control is proposed.
针对高速公路限速控制是一个非线性时变系统、难以用数学模型准确建模这一特点，提出了R BF神经网络控制方法。
The control for speed limitation on freeway is a nonlinear and time variable system, it is difficult to model with a mathematical model. A control method based on RBF Neural Network is put forward.
采用这种方法可将非线性时变RLCM网络的瞬态分析简化为若干次线性时不变电阻性网络的直流分析。
With this method, the transient analysis of nonlinear time-varying RLCM network can be reduced to a series of the DC analyses of linear time-invariant resistive network.
针对液压弯辊系统数学模型的非线性、时变特性，本文设计了一种模糊神经网络模型参考自适应控制器。
In view of the time-variable and nonlinear characteristics of mathematical model of hydraulic bending roll system, this thesis design a new nonlinear adaptive controler based on fuzzy neural network.
高速公路限速控制是一个非线性时变系统，难于用数学模型准确建模，提出一种模糊神经网络实现限速控制。
The control for speed limit on expressway is a nonlinear and time variable system, it is difficult to simulate with a mathematical model. A neuro-fuzzy network is proposed to solve the problem.
对一种非线性时变系统提出了基于神经网络的自适应逆控制方案。
An adaptive inverse control scheme was proposed for a kind of time-varying nonlinear systems.
论文第二章提出了一种非线性优化网络“时变步长”修正模型，并较优地实现格型结构的自适应预测。
Theory of the adaptive filter by ANN is analysed , then a bond network is built to implement stable alternate structure adaptive filters for high speed real-time applications.
基于人工神经网络的非线性映射特性，在三维有限元计算的基础上，结合大坝原型观测资料，提出了大坝参数时变规律的反演方法。
On the basis of the nonlinear characteristics of ANN and 3-D FEM computation, an inversion method for the time-varying regularity of dam parameters is presented with the observation data used.
结合流量的时变、滞后和非线性特性，提出了一种基于人工神经网络与模糊控制相结合的控制器。
On the basis of time-related change, delay and non-linear characters of flow, this paper proposes a kind of controller that is based on the combination of artificial nerve-network and fussy-control.
结合流量的时变、滞后和非线性特性，提出了一种基于人工神经网络与模糊控制相结合的控制器。
On the basis of time-related change, delay and non-linear characters of flow, this paper proposes a kind of controller that is based on the combination of artificial nerve-network and fussy-control.
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