• The text which is built on decision table has explained hard and soft match of identification of model and furnished searching theory using fuzzy decision.

    本文在决策表的基础上,阐述了模式识别的软硬匹配,提出用模糊决策方法进行搜索的理论。

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  • This paper presented a parameter identification method based on the structure of human fuzzy control model known, and tried to identificate parameters of the model.

    本文根据已知的人的模糊控制模型,提出了一种参数辨识方法,并进行了参数辨识实验。

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  • A learning algorithm based on Lyapunov stability is derived to fuzzy relational model identification in this paper.

    本文在李雅普·诺夫稳定性意义下,提出了一种辨识模糊关系模型的学习算法。

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  • Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.

    基于该辨识模型,设计了一个自适应模糊神经电压控制器,其参数采用改进的BP算法进行在线修正。

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  • A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).

    提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。

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  • The fuzzy model and its inverse fuzzy model can be obtained by fuzzy identification.

    过程的模糊模型和逆模糊模型均可由模糊辨识获得。

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  • The paper gives a indirect adaptive fuzzy controller . We obtain the model of the plant by fuzzy system identification online, then design the fuzzy controller online according to this model.

    本文给出了一种间接自适应模糊控制器,它通过在线模糊系统辨识得到控制对象的模型,然后根据所得模型在线地设计模糊控制器。

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  • The proposed method can accomplish the structure identification and the parameter identification of the fuzzy model in the same time, and implements the on-line identification of the fuzzy model.

    该方法利用模糊似然函数对样本数据进行聚类,并使模糊模型的结构辨识和参数辨识能同时完成,从而实现模糊模型的在线辨识。

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  • In view of modeling problems of nonlinear and dynamic system, a self organizing fuzzy identification algorithm (SOFIA) is presented based on t s model in this paper.

    针对复杂非线性动态系统的模糊建模问题,基于T -S模型提出一种自组织模糊辨识算法。

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  • In this paper the technologies of model forecasting and the fault model identification and the intelligence monitoring using fuzzy system and neural network are studied.

    本文主要对模糊系统和神经网络技术在模型预测、故障模式分类和智能监测中的应用进行了研究。

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  • According to the modified least square algorithm of system identification technique, a diagnostic model of power transformer fault is determined and described by fuzzy relation matrix.

    采用系统辨识的最小二乘法的改进算法,确定了一种用模糊关系矩阵表示电力变压器故障诊断模型。

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  • Based on the fuzzy identification theory, a single fuzzy model direct distance method is raised, which is suitable for operating model identification of complex system.

    在模糊识别理论的基础上提出了一种适宜于复杂系统工况识别的单模糊模式直接距离法。

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  • An adaptive fuzzy clustering identification algorithm is employed to get the T-S fuzzy model of a system.

    用基于T - S模型的自适应模糊聚类辨识算法对系统进行辨识。

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  • An adaptive fuzzy clustering identification algorithm is employed to get the T-S fuzzy model of a system.

    用基于T - S模型的自适应模糊聚类辨识算法对系统进行辨识。

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