目的针对铝电解故障发生机理及特点，提出采用层次模块化模糊神经网络实现对铝电解故障快速、有效检测的新方法。
This paper proposes a new method, which is a layer construction of Modular Fuzzy Neural Network according to the mechanism and characteristic of Aluminum Electrolysis Fault Diagnosis.
介绍了设备状态检修专家系统的结构，提出了一种基于模块化的神经网络的系统结构和学习算法。
This article introduces the structure of condition-based maintenance expert system, and a structure and algorithm about modular neural network is proposed.
针对传统神经网络用于复杂过程系统的控制时难于收敛的问题，文章提出了基于混合建模的模块化的神经网络模型。
Against difficult convergence problem when the traditional neural networks are applied to complex process system, a hybrid expert neural networks model is brought forward.
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