提出了一种基于模糊建模的冷凝器污脏软测量方法。
A novel approach based on fuzzy modeling for online soft-sensing of fouling in condenser is proposed.
提出了一种复杂系统模糊建模及控制的神经网络方法。
The article puts forward a complex system for fuzzy model-building and a method for a control nerve network.
针对一类仿射非线性系统，研究其模糊建模与控制问题。
Fuzzy modeling and control for a class of affine nonlinear systems is studied.
提出了一种新的基于模糊竞争学习的自调整的模糊建模方法。
The author proposes a new self tuning fuzzy modeling by means of fuzzy competitive learning.
针对复杂系统的模糊建模问题，提出了一种遗传-模糊建模新方法。
In this paper, we present a novel genetic-fuzzy modeling method for complex systems.
本文紧紧围绕着非线性系统的模糊建模和辨识方法展开讨论和研究。
This article focuses on the fuzzy identification of the non-linear system to discuss.
如何找到这些规则，化简规则，压缩模糊模型的输入空间是模糊建模的关键问题。
How to find the rules, simplify rules and reduce the fuzzy model of the input space is the key to the problem of the fuzzy modeling.
利用模糊建模方法处理可松弛约束的能力，提出一种估计电力系统电压安全成本的新方法。
A new method to evaluate voltage security cost is presented using the capability of fuzzy modeling method in dealing with relaxed constraints.
采用RBF神经网络在线补偿不确定项和模糊建模误差，能够使飞机获得满意的控制效果。
Using RBF NN can restore the airplane to the normal state by online regulating the effect of the uncertainties and the error caused by fuzzy modeling.
重点对近年来在模糊建模、模糊辩识及自适应模糊控制领域的新进展进行了综合性的论述。
Some new developments in recent years are presented. Fuzzy modeling, fuzzy identification and adaptive fuzzy control are deeply discussed.
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。
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.
基于可能性理论的可能性线性模型在模糊建模方面有着非常重要的作用，并已得到了广泛的研究。
Possibilistic linear model based on possibility theory has a pivotal role in fuzzy modeling and has been widely studied.
以鲁棒it 2 P CM算法为主要工具，建立了一种快速原型方法进行区间类型2模糊建模。
Consequently, with robust IT2PCM clustering algorithm as main tool, a rapid-prototyping approach to interval type-2 fuzzy modeling is proposed.
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.
新的基于进化学习的算法不但具有更好的全局收敛能力，同时依然能继承视觉模糊建模方法的原有优点。
The proposed new method not only has the better global learning abilities but also can inherit the virtues of the original visual TSK fuzzy system modeling method.
文中对模糊建模方法进行了研究，并对汽轮发电机密封油冷却系统进行了模糊建模，取得了满意的结果。
After a study of the fuzzy model creation method the authors constructed a fuzzy model for a turbogenerator seal oil cooling system with satisfactory results being attained.
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.
本文针对模糊建模过程中，系统的可解释性得不到保证的问题，提出一种基于模糊聚类的可解释性建模方法。
Research on the interpretability has not got enough attention. This paper proposes a method of interpretable modeling based on fuzzy clustering in order to improve the interpretability of fuzzy model.
作为现代控制领域中的一个重要分支，基于模糊建模的非线性系统的鲁棒自适应变结构控制技术近年来受到了国内外控制界的广泛重视。
As an important branch in the field of intelligent control, fuzzy model based robust adaptive sliding-mode control for nonlinear systems has received more and more attention in recent years.
以下案例是绘图工具的模糊不清和建模工具的准确的对比示例。
The following cases are examples of the ambiguity of a drawing tool versus the precision of a modeling tool.
并且通过对模糊需求信息的建模，使设计检索模型更适合于表达设计重用的工程实际。
By modeling for the fuzzy requirement information, the model for design retrieval is more adapt to the design reuse engineering fact.
给出了用实验方法建模的结果和缺陷模糊模式识别应用示例。
The experimental results of model establishment and application example of recognizing flaws by fuzzy pattern recognition are also given.
作为一种局部逼近方法，自适应神经模糊推理系统(ANFIS)适于为药物定量构效关系(QSAR)建模。
Adaptive neural fuzzy inference system (ANFIS), as a local approximation approach, could be used to model the quantitative structure-activity relationship (QSAR) of medicine.
模糊认知图作为一种模糊逻辑和神经网络相结合的产物，为复杂系统建模提供了一种有效工具。
Fuzzy cognitive maps as a soft computing method, which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.
模糊系统辨识是模糊系统建模的主要手段，优化的模糊系统结构是模糊系统辨识的关键。
Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification.
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.
在非线性动态过程的建模中，融入了模糊逻辑和局部线性模型。
Fuzzy logic and local linear models are employed for modeling a non-linear dynamic process.
不规则模糊物体的建模及其实时显示技术一直以来都是虚拟现实技术研究中的热点与难点。
The modeling and real-time rendering technology of irregular fuzzy object is problem and focus in virtual reality technical research field.
不规则模糊物体的建模及其实时显示技术一直以来都是虚拟现实技术研究中的热点与难点。
The modeling and real-time rendering technology of irregular fuzzy object is problem and focus in virtual reality technical research field.
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