提出了新颖的最优模糊聚类神经网络模型对机械手运动轨迹进行控制。

This paper presents a novel framework for trajectory tracking of robotic manipulators based on the optimal fuzzy clusting neural network system.

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首先研究了基于神经网络的故障诊断模型的分类和设计步骤，并将诊断模型大体分为6类和5个设计步骤；

First, it researches the category and design process of the fault diagnosis model based on neural network. The model includes 6 categories and 5 design processes.

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研究了一类具有连续分布延时的反馈神经网络模型的周期解的存在性和全局稳定性。

Both the global exponential stability and the existence of periodic solutions for a class of recurrent neural networks with continuously distributed delays (RNNs) are studied.

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