反馈神经网络是一种将输出经过一步时移再接入到输入层的神经网络系统。
(2) 反馈神经网络 ( Feedback Neural Networks ) 反馈型神经网络是一种从输出到输入具有反馈连接的神经网络，其结构 比前馈网络要复杂得多。
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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.
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。
Stability analysis is an important topic for dynamical feedback neural networks, which provides certain guidance for the their design and applications.
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。
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.
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