fuzzy partition 中文意思是什麼

fuzzy partition 解釋
模糊劃分
  • fuzzy : adj. 1. 有茸毛的，覆著細毛的，如茸毛的。2. 不清楚的。fuzziness n.
  • partition : n 1 分割；分開；被分開；區分，劃分，配分。2 區分線，區分物，隔開物；隔板，隔墻。3 部分；隔開部分...
  1. Fuzzy partition model on groundwater flow zones

    地下水系統徑流帶的模糊劃分模式
  2. A new definition of fuzzy partition and its application

    模糊劃分的一個新定義及其應用
  3. A new edge detection algorithm based on fuzzy partition

    一種基於模糊劃分的邊緣檢測演算法
  4. Properties and stability analysis of fuzzy control systems employing standard fuzzy partition inputs

    輸入採用標準模糊分劃的模糊控制系統性質及穩定性分析
  5. In fussy controller, i apply non - equality fuzzy partition method to get higher accuracy with less level of measure

    模糊控制中採用了非均勻模糊劃分，以較低的量化等級獲得較高的控制精度。
  6. All in all, features of the paper represent as follow : ( 1 ) theory of dynamic fuzzy partition lattice riches the content of dynamic fuzzy set

    綜上所述，本文的特色表現在: （ 1 ）提出了動態模糊劃分格，豐富充實了動態模糊集的內容。
  7. In this paper, we pointed out that the ruspini s definition of fuzzy partition has a shortcoming, which does not always coincide with our intuition

    提出了模糊劃分的一個新定義。可以證明它蘊含了ruspini的定義，並且具有與直觀及其實際應用相符的性質。
  8. So we proposed a new definition for fuzzy partition and proved the new definition of fuzzy partition has a desired property consistent with our intuition and applications of fuzzy partition e. g.,

    而且根據此定義，可以定義模糊集合的相對清晰度及模糊劃分的平均清晰度。實驗證明，模糊劃分的平均清晰度可以衡量fcm演算法的聚類效果。
  9. Secondly, this paper presents a new fuzzy modeling based on t - s fuzzy model, which calculates the membership grade of each fuzzy subspace using fuzzy partition of input space, the consequence parameter identification is obtained by orthogonal least square

    其次，提出了一種新的基於t - s模糊模型的建模方法。該方法是基於輸入空間的模糊劃分計算給定樣本在各模糊子空間的隸屬度，利用正交最小二乘演算法辨識模糊模型的結論參數。
  10. Abstract : according to the theory of difference analysis, this paper proposed using mixed - f statistic to determine the optimal class number of fuzzy cluster, and using fuzzy partition entropy to verify whether the class number is optimal, the optimal class number can be determined by the two statistics mentioned above correctly

    文摘:根據方差分析理論，提出應用混合f統計量來確定最佳分類數，並應用模糊劃分熵來驗證最佳分類數的正確性，綜合運用上述兩個指標可以準確確定最佳聚類數。
  11. According to the relationship between characteristics of the traffic flow and traffic congestion, fuzzy logic is adopted to partition the basic parameters ( mean velocity and flow volume ) into several fuzzy subsets, then fuzzy inference system is established to generate loc

    通過分析交通流基本參數與交通擁擠現象之間的關系，本文運用模糊數學的方法對交通參數（交通流量和平均速度）以及擁擠度進行描述，建立了交通擁擠度的模糊推理系統。
  12. Using the grid - type method to partition the space, regarding the modeling data as the antigen and the fuzzy rules as the antibody, this method determines the structure of t - s system with immune theory and adopts the least square method to estimate consequent parameters of the linear rule

    該方法結合網格空間劃分方法，以建模數據為抗原，模糊規則為抗體，採用人工免疫原理確定系統結構，並應用最小二乘方法估計線性規則後件參數。
  13. The important research is about the theory and methods of the cluster analysis in view of statistical theory, the theory and methods of fuzzy cluster analysis, the fkn " s structure and the fkn ' s study algorithm ( fkn, fuzzy kohonen network ) - the organic fusion of the fuzzy c - means algorithm and self - organized feature map neural network. the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea, then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company. finally, the paper discusses the applying of the cluster analysis to the control process, which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing, and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory, through which good effect is obtained

    數據挖掘技術在商業領域中已廣泛使用，然而在工業過程式控制制中的應用卻極少，本文正是在這種背景下，對數據挖掘中的聚類分析方法及其在工業過程式控制制中的應用研究作了償試，重點研究了基於統計理論的聚類分析理論和方法，模糊聚類分析理論和方法及模糊kohonen網路（ fkn ）的結構與學習演算法，即模糊c ? ?均值演算法與自組織特徵映射神經網路（ kohonen網路）的有機融合，並根據硬分類思想及軟分類思想提出了改進的模糊kohonen網路（ ifkn ） ，通過matlab編程對人工合成控制時序圖數據集進行聚類分析，其聚類效果與當今廣泛使用的數掘挖掘軟體平臺，德國mit公司著名的dataengine智能數據分析和數掘挖掘軟體的聚類效果相當，最後，論述了聚類分析在控制中的應用，它可以用於過程式控制制中的參數變化趨勢的模式識別及圖象分割處理等具體應用中，並以貴州鋁廠熟料燒結回轉窯自動控制系統為工程背景，利用ifkn識別其熱工參量變化趨勢，取得了較理想的效果。
  14. ( 6 ) by the research of clustering capability of som, associated with fuzzy clustering analysis, we can realize the diagnosis of multiple faults of turbine generator - set. ( 7 ) by the analysis of the fuzzy - c partition and the genetic algorithm, a new method combing with them is put forward. this method can prevent the fuzzy - c partition from the local least point and can diagnose the steam turbine generator - set ' s multiple faults more effectively

    （ 7 ）通過模糊c -劃分極易陷入局部極小值和遺傳演算法有全局尋優特點的分析，提出了將兩者相結合的聚類分析新方法，不僅可克服模糊c -劃分陷入局部極小點的缺陷，而且能對汽輪發電機組的多故障進行有效的診斷。
  15. According to the theory of difference analysis, this paper proposed using mixed - f statistic to determine the optimal class number of fuzzy cluster, and using fuzzy partition entropy to verify whether the class number is optimal, the optimal class number can be determined by the two statistics mentioned above correctly

    根據方差分析理論，提出應用混合f統計量來確定最佳分類數，並應用模糊劃分熵來驗證最佳分類數的正確性，綜合運用上述兩個指標可以準確確定最佳聚類數。
  16. The diagnosis method based on fuzzy normal partition logic reasoning and its application

    基於模糊正態劃分的邏輯推理診斷方法及應用
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