An improvement for dynamic fuzzy neural network (DFNN) was presented to avoid its running into the local extreme.
针对动态模糊神经网络(DFNN)在进行预测应用时容易陷入“局部极值”的缺陷，提出一种改进方案。
Since a static fuzzy neural network cannot deal with the temporal problem, a dynamic fuzzy neural network (DFNN) with recurrent units is proposed.
针对静态网络无法处理暂态问题，对具有递归环节的动态模糊神经网络进行了研究。
The fuzzy neural network model for dynamic equation of the PMT is established.
本文建立了求解并联机构动力学方程的模糊神经网络模型。
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
提出了一种新的动态模糊自组织神经网络模型(TGFCM)，并将其用于文本聚类中。
A novel indirect adaptive controller based on dynamic recurrent fuzzy neural network (DRFNN) is proposed for affine nonlinear system.
针对仿射非线性系统，提出了一种新型的基于动态递归模糊神经网络(DRFNN)的间接自适应控制器。
Moreover, T-S model is used to adjust the dynamic fuzzy rules by the latter neural network, which can improve the adaptability of the control system.
采用T - S模型，由后件网络动态调整模糊规则，提高控制系统的适应性。
With the dynamic model of flexible manipulator, PD control, fuzzy PD control and neural-network control are studied.
系统控制方面，针对柔性臂的动力学模型，分别进行了PD控制、模糊pd控制和神经网络控制方案的研究。
With the dynamic model of flexible manipulator, PD control, fuzzy PD control and neural-network control are studied.
系统控制方面，针对柔性臂的动力学模型，分别进行了PD控制、模糊pd控制和神经网络控制方案的研究。
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