Stability analysis is an important topic for dynamical feedback neural networks, which provides certain guidance for the their design and applications.
稳定性分析是动态反馈神经网络的重要研究内容，对于网络的设计和应用具有指导作用。
The discrete feedback neural networks are focused. First, a general criterion on the stability of networks is given, the energy function can be regarded as a special case of the criterion.
考虑离散型反向式网络，给出网络稳定性的一种判据，并把熟知的“能量函数”判据作为特款；
To solve the classification of dynamic signal, this paper proposed a feedback process neural networks model and classification methods based on this model.
针对动态信号模式分类问题，提出了一种反馈过程神经元网络模型和基于该模型的分类方法。
Neural networks and PD feedback controllers for adaptive tracking in nonlinear systems are presented.
研究了应用神经网络和PD反馈控制实现非线性系统的自适应跟踪问题。
Based on neural networks, a robust control design method is proposed for strict-feedback block nonlinear systems with mismatched uncertainties.
针对非匹配不确定性的严反馈块非线性系统，基于神经网络提出一种鲁棒控制方法。
Based on neural networks, a robust control design method is proposed for strict-feedback block nonlinear systems with mismatched uncertainties.
针对非匹配不确定性的严反馈块非线性系统，基于神经网络提出一种鲁棒控制方法。
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