In chapter 3, fuzzy modeling methods are studied.
第三章为模糊建模方法研究。
参考来源 - 模糊控制系统中的若干关键问题研究When one uses support vector learning mechanism to type-1 fuzzy modeling, too many support vectors will lead to a complicated fuzzy model.
当采用支持向量学习机制进行类型1模糊模型建模的时候,过多的支持向量数将导致一个复杂的类型1模糊模型。
参考来源 - 模糊系统辨识及其在机车粘着中的应用A novel approach to building up an objective function of dynamic matching combined with fuzzy modeling is presented in order to carry out off-line signature verification quickly and accurately.
为快速并准确地进行脱机签名鉴定,提出了一种结合模糊理论建立动态匹配目标函数用于鉴定的新方案。
参考来源 - 结合模糊理论的动态匹配脱机签名鉴定研究 in CSecondly, a new user-friendly Sugeno fuzzy modeling is proposed.
第二,提出了用户友好的Sugeno型模糊建模新算法。
参考来源 - 基于遗传算法的模糊系统研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Fuzzy modeling and control for a class of affine nonlinear systems is studied.
针对一类仿射非线性系统，研究其模糊建模与控制问题。
In this paper, we present a novel genetic-fuzzy modeling method for complex systems.
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。
The author proposes a new self tuning fuzzy modeling by means of fuzzy competitive learning.
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。
应用推荐