(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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feedback neural networks model 反馈神经网络模型
feedback process neural networks 反馈过程神经元网络
feedback procedure neural networks 反馈过程神经网络
multi-layer feedback chaotic neural networks 多层反馈混沌神经网络
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。
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