基于系统的输入-输出数据，提出一种通过划分输入空间提取模糊规则的方法，并将该方法应用于建模非线性程度较高的干燥过程。
Based on the input-output data of the system, a new method to create fuzzy rules by dividing the input space was proposed and ap plied to modelling of the non-linear drying process.
利用递推模糊聚类算法实时对系统的输入空间进行模糊划分，利用卡尔曼滤波算法确定参数。
The input space of fuzzy system is partitioned by means of real time recursive fuzzy clustering, and the parameters of fuzzy model are confirmed by Kalman filtering.
再然后，将小脑模型关节控制器中的空间划分方式进行模糊化处理，提出了一种模糊小脑模型关节控制器；
Thirdly, by fuzzifizing the space division method of cerabellar mode articulation controller , a fuzzy cerabellar mode articulation controller is proposed.
首先，利用在线模糊竞争学习方法划分输入变量的模糊输入空间，然后利用卡尔曼滤波算法估计模糊模型的参数。
First, the fuzzy space of input variables is partitioned by means of on-line fuzzy competitive learning. Further, the parameters of fuzzy model are estimated by means of Kalman filtering algorithm.
提出一种基于模糊空间非标准划分的模糊神经控制方法。
In this paper, a novel fuzzy neural control approach based on the nonstandard partition of fuzzy space is proposed.
提出一种基于模糊空间非标准划分的模糊神经控制方法。
In this paper, a novel fuzzy neural control approach based on the nonstandard partition of fuzzy space is proposed.
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