二阶动态模糊逻辑；谱理论；
研究不确定动态模糊系统的稳定性问题。
The stabilization of uncertain dynamical fuzzy systems is studied.
基于动态模糊集，提出动态模糊测度理论。
Based on Dynamic Fuzzy Set, the Dynmic Fuzzy Measure theorem is proposed in this paper.
现在选择另一个还没有进行动态模糊效果的星光柔化图层。
Now select the other Star Diffusion layer that you did not apply the motion blur effect to.
在我们研究的领域中，动态模糊对象是普遍存在的。
Dynamic and fuzzy objects exit universally in our research field.
第八步：在另一个星光柔化图层上使用相反对角线的动态模糊效果。
Step 8: Apply the opposite diagonal motion blur to the other Star Diffusion layer.
利用马尔柯夫链和模糊集理论，建立多指标动态模糊评价模型。
A dyn amic fuzzy evaluation model is created, which is based on a discrete MARKOV process and fuzzy set theory.
总结了决策树的剪枝方法，并给出了动态模糊决策树的剪枝策略。
Then, with the summing-up of pruning methods of decision tree, we make certain the pruning strategy that adapts to dynamic fuzzy decision tree.
将这批NAA数据进行模糊聚类分析，得到动态模糊聚类分析图。
NAA data are further analyzed using fuzzy cluster analysis to obtain a fuzzy cluster trend diagram.
按照此模型，给出了平台服役期间构件动态模糊疲劳可靠度的计算方法。
According to this new model, an assessment method for fuzzy fatigue reliability of structural members of offshore platform in service was provided.
目的介绍一种动态模糊聚类算法并利用该算法对磁共振图像进行分割研究。
Objective to introduce a dynamic fuzzy clustering algorithm and use it to do the study of segmentation of the brain in MRI.
其次，利用动态模糊理论解决手写数字字符识别中的多维特征和动态模糊性问题。
We try to resolve the dynamic fuzzy multi-dimensional problem on the handwritten digit recognition.
针对静态网络无法处理暂态问题，对具有递归环节的动态模糊神经网络进行了研究。
Since a static fuzzy neural network cannot deal with the temporal problem, a dynamic fuzzy neural network (DFNN) with recurrent units is proposed.
提出了一种新的动态模糊自组织神经网络模型(TGFCM)，并将其用于文本聚类中。
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
综合利用计算机视觉技术和模糊聚类分析技术，实现了对粮仓害虫的动态模糊聚类分析。
With full use of computer vision and fuzzy clustering analysis, dynamic clustering analysis for stored-grain pests was achieved.
提出了动态模糊依赖关系的单值化处理方法，使复杂的动态模糊依赖关系找到简化的方法；
The means of uniformization of the dynamic fuzzy dependent relation has been put forward, and the simplification method of the complicated dynamic fuzzy dependent relation has been found.
文章将语境分为上下文语境和情景语境；模糊语义分为相对的动态模糊语义和静态模糊语义。
Context is treated as co-text and context of situation, while fuzzy meaning is studied in relatively dynamic fuzzy meaning and static fuzzy meaning.
本文的理论为进一步建立动态模糊随机响应分析(包括模糊随机振动)的一般理论奠定了基础。
This paper may serve as the basis of the general theory of dynamic fuzzy random response analysis (including fuzzy random vibration).
以一种进化聚类算法(ecm)为基础，提出了一种新的T - S型动态模糊推理模型的建模算法。
On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed.
实例表明，动态模糊征兆向量方法能有效地解决智能诊断中征兆的更新与征兆数值、单位的统一问题。
An instance proved method of dynamic fussy symptom vector is efficient to solve the problems of symptom updating and unify of symptom value and unit.
针对动态模糊神经网络(DFNN)在进行预测应用时容易陷入“局部极值”的缺陷，提出一种改进方案。
An improvement for dynamic fuzzy neural network (DFNN) was presented to avoid its running into the local extreme.
研究了T S模糊系统中存在未知输入、多重故障时的诊断问题，提出了基于动态模糊观测器的诊断方法。
The fuzzy dynamic observer diagnosis method is proposed for the T-S fuzzy system with unknown inputs and multiple faults.
结果表明，由简单的一阶动态模糊控制器构成的控制系统，性能明显优于传统的静态模糊控制器构成的相应系统。
The results show that the performance of the control systems with the first-order dynamic fuzzy controller is much better than that with the traditional static fuzzy controller.
勾选“显示进阶选项”框框会显示更多选项，诸如影片编码模式、转档品质、动态模糊品质和“启用发光效果”勾选框。
Checking the 'Show Advanced options' box displays further options including video codec, render quality, motion blur quality and an' Enable Glow Effect 'checkbox.
利用动态模糊神经网络控制器对并联平台的轨迹跟踪控制进行了仿真，结果表明此控制算法具有较好的跟踪性能和较强的鲁棒性。
The proposed DFNN controller was applied on tracking control system of 6-dof parallel platform, and the results show that this method has better tracking performance and robustness.
利用动态模糊神经网络控制器对并联平台的轨迹跟踪控制进行了仿真，结果表明此控制算法具有较好的跟踪性能和较强的鲁棒性。
The proposed DFNN controller was applied on tracking control system of 6-dof parallel platform, and the results show that this method has better tracking performance and robustness.
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