Nodal analysis is a fundamental method which is used to analyze the linear time-invariant network and it is also used in computer-aided circuit analysis.
节点分析法是学习分析线性时不变网络以及进行计算机辅助网络分析的基本方法之一。
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.
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。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
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