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.

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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.

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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.

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