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- dynamic fuzzy cluster 动态模糊聚类
- Prediction of Yield Trend for Winter Wheat by Fuzzy Cluster Method. 用模糊聚类法预报冬小麦产量趋势。
- Fuzzy cluster analysis of Malus spp. with isoenzyme profiles. 苹果属植物两种同工酶的模糊聚类分析.
- Using Dynamic Fuzzy Clustering method in Classifying Hydrological Districts in Liaoning 运用动态模糊聚类方法进行辽宁省水文分区初探
- Pest insect community on orange leaves is analyzed with fuzzy cluster method. 经模糊聚类分析表明，柑桔叶片害虫群落由3个集群和3个边缘种组成。
- dynamic fuzzy clustering 动态模糊聚类
- Fuzzy Clustering Models and Applications. 想看一下国外的模糊聚类模型的研究方法。
- The Fuzzy Cluster Analysis of Terracotta Warriors and Horses of Qin Shihuang's Mausoleum in Pit No. 秦始皇陵三号坑兵马俑的模糊聚类分析。
- Based on Dynamic Fuzzy Set, the Dynmic Fuzzy Measure theorem is proposed in this paper. 基于动态模糊集;提出动态模糊测度理论.
- Fuzzy cluster analysis and its application in identification of reservoir bed with logging data. 模糊聚类分析及其在测井识别油气层中的应用
- On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed. 摘要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。
- This procedure in the realization of fuzzy cluster analysis algorithm to achieve through the recursive classification. 本程序实现模糊数学中聚类分析算法，该算法通过递归来实现分类。
- Based-on Dynamic Fuzzy Logic, we proposed a DFL agent logical model and a problem solving model based on multi-agent. 基于动态模糊逻辑(DFL)给出了DFL agent的逻辑模型，建立一个基于多agent的问题求解模型。 主要包括以下几个方面的工作：
- Through fuzzy cluster analysis of the deposit, different types and their forming mechanism are delved. 通过对沉积物的模糊聚类分析,探讨了沉积物的存在模式及其形成机理。
- Because QFD model building is complicated, CBR based on Fuzzy Cluster Analysis is applied to simplifying the process of QFD model building. 同时提出在进行多次应用后 ,采用基于实例推理 (CBR ,Case BasedReasoning)的方法提取相似实例简化QFD的模型建立过程 ,并采用模糊聚类方法进行实例的检索。
- The example shows both methods are equal in abstracting precision,but the Ostu method is much faster and more effcient than the fuzzy cluster method. 算到表明：两种方法的提取精度相当，而最大类间方差法的计算速度明显要快，因此较模糊聚类分析法更为简洁有效。
- This thesis tried to do some researches on reasoning model of DFL, because there were only simple models on the aspect and we wished to enrich the dynamic fuzzy theory system. 因此,本文试图在动态模糊逻辑(DFL)的推理方面做些工作,以进一步丰富动态模糊逻辑(DFL)的内容。
- AFCN (adapted fuzzy cluster neural network) is introduced to keep up trade-off between noise attenuation and detail preservation in image processing. 为了获得滤除噪声和细节保留两方面更好的平衡,提出了一种自适应模糊聚类神经网络。
- Due to this,propose default assumption reasoning based on DFL. Here,introduce the reasoning frame,dynamic fuzzy knowledge representation,reasoning algorithms and so on. 因此文中针对研究对象以及它们之间的动态模糊性,提出了基于动态模糊逻辑(DFL)的缺省假设推理,并给出了缺省假设推理的框架描述、动态模糊(DF)知识的表示以及推理算法等。
- The scientific classification of fly ash is s tudied by using the fuzzy cluster cyclic iteration model on the basis of the pri nciple of fuzzy cluster. 根据模糊聚类基本原理,运用模糊聚类循环迭代模型研究了粉煤灰的分类问题。
