A dynamic neural fuzzy model (DNFM) based adaptive control algorithm for ship course control was developed to overcome uncertainties arising from changes of model parameters.
针对船舶航向控制中模型参数变化引起的不确定性问题，提出一种基于动态神经模糊模型(DNFM)的自适应控制算法。
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。
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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