The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).

介绍了径向基函数网络的函数逼近原理和方法，提出了一种基于广义回归神经网络（GRNN）的传感器非线性误差校正方法。

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A real time modeling approach for nonlinear discrete time system is presented by using the concept of time variant recurrent neural network and the theory of two dimensional system.

利用时变反馈神经网络的概念及二维线性系统理论给出了非线性离散系统的一种实时建模方法。

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A nonlinear filter method is discussed with broad sense BP neural network theory in the integrated navigation system.

探讨了采用广义BP神经网络理论来进行组合导航定位数据的非线性滤波方法。

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