与其他建模方法相比，如anfis，模糊树模型计算量小，精度高，尤其在高维数据建模中更为明显。
Compared with some other modeling methods, such as ANFIS, the proposed model is of less computation, higher accuracy, especially for high dimension data modeling.
通过仿真实验，采集蠕滑速度和粘着系数的数据，利用RV -TS模型对粘着特性曲线进行模糊建模。
According to the simulation data of slip velocity and adhesion coefficient, a fuzzy model, RV-TS model, is built to describe the adhesion characteristic curve.
利用本文提出的算法对水泥窑输入输出数据进行分析处理，并对典型的水泥窑模糊建模问题进行了求解。
By using the method in this paper, the input and output data of cement stove were analyzed, and the fuzzy model of cement stove is established.
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.
理论分析说明这种模糊规则后件参数学习算法是收敛的、所建模糊模型能够以要求的精度逼近已知的实验数据。
The learning algorithm and the characteristics of the fuzzy rules model which can approximate the experiment data are shown to converge to any arbitrary accuracy by the theoretical analysis.
自适应神经网络模糊推理系统(ANFIS)能基于数据建模，无须专家经验，自动产生模糊规则和调整隶属度函数。
Applying Adaptive Neural-Fuzzy Inference System (ANFIS) can produce fuzzy rules and adjust membership functions automatically based on data without experience of experts.
分别采用模糊c -均值聚类方法和快速全局C -均值聚类两种算法实现化工建模所需训练数据的有效提取。
In order to getting the effective training data of chemical engineering modeling, two algorithms that fuzzy C-means and fast global fuzzy C-means clustering were used.
通过这个系统，用户可以自己创建模糊数据库，实现模糊数据的存储和部分管理功能。
Users can create fuzzy database upon it and achieve the store and part management of fuzzy data.
实验证明，模糊数据曲线确定的网络结构是接近最佳的，在训练速度和精度方面，效果优于神经网络建模算法。
Under the same condition, the precision and speed of fuzzy neural network algorithm was better than that of neural network.
为了描述空间数据的模糊性，把模糊集理论引入GIS，以加强GIS对模糊现象建模的能力，因而产生了模糊数据。
In order to enhance the ability of modeling fuzzy phenomena, the fuzzy set theory is introduced into GIS, which produces fuzzy spatial data.
为了描述空间数据的模糊性，把模糊集理论引入GIS，以加强GIS对模糊现象建模的能力，因而产生了模糊数据。
In order to enhance the ability of modeling fuzzy phenomena, the fuzzy set theory is introduced into GIS, which produces fuzzy spatial data.
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