Through constructing the RBF network approximation facility, this paper proposes a novel fault diagnosis structure and method applying RBF network to the fault diagnosis of drum level sensor.

本文将基于RBF网络的信息融合技术应用于水位传感器的故障诊断，通过构建高精度RBF 网络逼近器，提出了一种新的故障诊断结构和诊断方法。

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The topologic structure and learning algorithm of the rough neural network are given, and the approximation theorem of the rough neural network is presented.

给出了粗糙神经网络的拓朴结构和学习算法以及粗糙神经网络的逼近定理。

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Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.

依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。

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