隸屬度 的英文怎麼說

中文拼音 [lìzhǔdù]
隸屬度 英文
degree of membership
  • 隸 : Ⅰ動 （附屬） be subordinate to Ⅱ名詞1 （被奴役的人） a person in servitude; a lowly person 2 （衙...
  • 屬 : 屬名詞1 （類別） category 2 [生物學] （生物分類系統上所用的等級之一） genus 3 （家屬; 親屬） fami...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 隸屬 : be subordinate to; be under the jurisdiction or command of
  1. At an the forry ahp atall i6 op1ied to the taizha - - ytheiap be. in the mess of oplication, the atic1e cnis the bew methed wtth the twic ateraitw mess to solve ch weight, nd cbothes the fuzry statistics wtth the bebo meed to deted boion degree of bos

    最後將此方法應用於泰州引江河工程的社會評價中，提出了德爾菲與層次分析相結合方法推求指標權重，採用模糊統計與德爾菲法確定指標隸屬度，體現了方法運用中取長補短的原則。
  2. Correlation analysis of hardiness indexes showed that it was scientific to use average of sf for evaluating grape hardiness, so it can he used to evaluate cold hardiness of new vitis germplasm resources

    抗寒性指標間相關性分析表明，利用平均隸屬度評價葡萄抗寒性最為科學，為鑒定葡萄新種質提供了依據。
  3. Then fuzzy maths is used here to get dimensionless form of the results, thus the quantitative index subjection model is build. by method of fuzzy statistic, the qualititive index subjection is model is build, too

    運用模糊數學方法，對有無對比值無量綱化，建立定量指標隸屬度模型；對定性指標分級量化，得到定性指標的隸屬度。
  4. On the basis of essential nonlinear characteristics in municipal wastewater biology treatment process, control strategy of fuzzy self - revised method based on neutral network is adopted and some different degree of membership functions which will influence on control error are compared in order to improve control prevision

    摘要針對城市污水生物處理過程存在的本質的非線性特性，採用了基於神經網路的模糊自校正方法的控制策略，同時為了提高控制的精度，比較了各種不同的隸屬度函數對控制誤差的影響。
  5. In using the fuzzy optimization, the paper separately computes the subordinative degree of the storage capacity that is opposite to the main high - water season in every stages, and then, determines the present storage capacity

    在模糊演算法中分別計算各個時段相對于主汛期防洪庫容的該時段的庫容隸屬度，然後確定該時段的庫容。
  6. Compared to the degree of approaching method, the fuzzy semantic relationship between fuzzy sets depends on not only the two fuzzy sets elements " subordinative degree, but also the elements " semantic relationship, while the degree of approaching only depends on the subordinative degree of the same element in different fuzzy sets, so the fuzzy semantic relationship method gets better results, and settle the problem of one text belonging to more than one class well. 3

    兩個模糊集間的語義關聯度，不但依賴于兩個模糊集論域的元素間的隸屬度，而且與相應論域元素間的語義近似程度有關，而貼近度的方法只考慮了相同元素在不同模糊集中隸屬度值的關系，因此模糊語義關聯度的方法獲得了更好的分類效果，並且更好地解決了文本兼類的問題。
  7. We analyze the classifying results based on the fuzzy text classifying, think the wrong classifying results can be divided into two styles, and we propose a subordinative degree update algorithm aim at the two instances. combined the nizzy semantic relationship classifying algorithm, we propose the gradual classifier construction algorithm through checkouting and correcting the wrong results constantly with the update formula.

    在模糊文本分類的基礎上，對分類結果進行了分析，將分類錯誤歸結為兩種類型，並針對這兩種情況提出了隸屬度更新演算法，結合模糊語義關聯度的分類演算法提出了運用更新公式不斷對分類結果進行校驗糾錯進而逐漸地構造分類器的演算法。
  8. The software matlab is used to calculate the fuzzy system, the fuzzy system divide the voltage - reactive pane into nine fuzzy zone, in this way the domain - swing between closing domain is eliminated

    該模糊推理系統的隸屬度函數採用三角形隸屬度函數，模糊推理採用mamdani型推理，非模糊化採用的是重心法，在設計時使用matlab為輔助進行離線計算。
  9. First the technology evaluation is done with specialist method and fuss - math method. by the biggest membership principle, the psd project is concluded to be optimum. the following from the economical point of view, the investment and total cost of the closed project and psd project are analyzed

    文中首先對三種環控方案運用專家評分和模糊數學方法進行技術評價，根據最大隸屬度原則，選出站臺屏蔽門方案為最優方案。
  10. The effect of the profile of membership function and the defuzzification algorithm on the capacity of fuzzy controller is studied systematical, and a practical self - adaptive fuzzy controller is designed

    研究了隸屬度函數及解模糊演算法對模糊控制器性能的影響，設計了實用的自適應模糊控制器。
  11. A soft sensor modeling algorithm based on improved fuzzy neural network is presented. the normalized average output membership functions are defined as fuzzy basis functions for defuzzification calculation. in order to improve the property of convergence, some parameters of the fuzzy neural network are trained by levenberg - marquardt algorithm, and the others are trained by gradient descent algorithm

    提出了一種改進的模糊神經網路軟測量建模方法，採用規則化的平均輸出隸屬度函數作為模糊基函數進行反模糊化運算；在訓練網路時，部分參數採用levenberg - marquardt演算法來訓練，另一部分採用一階梯度下降法。
  12. The fuzzy layer of the hybrid fnn include two kinds of neurons, one is gaussian fuzzification neuron which used to give the continuous input an fuzzy membership value, another is a presented fuzzy cluster neuron which also used to give the discrete input an fuzzy membership value

    該混合模糊神經網路的模糊化層除了具有模糊化神經元，還加入一類模糊聚類神經元。模糊聚類神經元通過預先計算的模糊聚類隸屬度矩陣來輸出對應于離散輸入的模糊化值。
  13. Neural - fuzzy control driver ? model is made based on fuzzy logic and neural networks. fuzzy mapping of the control rule and triangular membership functions is carried out with bp ( back propagation ) neural networks

    基於模糊神經網路理論，建立了模糊神經駕駛員控制模型，用bp網路實現了控制規則、隸屬度函數的模糊映射。
  14. In order to improve the reasoning algorithm in multiple value causality diagram, which could not deal with the fuzzy case, a fuzzy reasoning algorithm was presented. it extended the definition of the multiple value causality diagram with fuzzy. the fuzzy mapping relation between every event variable and every reader variable was made

    該演算法對多值因果圖進行了模糊擴展定義，使每個基本事件或節點事件變量對應一個能夠連續取值的讀數變量，在讀數變量和事件變量之間建立模糊對應關系，用讀數變量的取值相對於事件變量各狀態的隸屬度函數來表達模糊知識。
  15. 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。
  16. In this paper, i have established a appraisement index system after synthetically consideration affecting factor of trolleybus and bus in managing quality, determined right number of each index by grade analysis law, determined appraisement grade of each index by investigating to queue up, determined appraisement matrix by expert inquiry, calculated subordinating level which beijing ' s managing quality of trolleybus and bus in managing quality to each appraisement grade by " m (, ) " model algorithm in vague mathematics. according to identification principle, i have reached conclusion

    本論文在綜合考慮公共電汽車運營質量影響因素的前提下，確定了公共電汽車運營質量評價指標體系，採用層次分析法確定指標權數，通過調查排隊來確定各指標的評價等級，通過專家調查法確定評價矩陣，利用模糊數學中m （ ? ? ）模型演算法計算一個城市公共電汽車運營質量對「優、良、中、差」的隸屬度，根據識別原則，得出結論。
  17. A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for dc double closed loop speed adjusting system. the method covers three steps. firstly, speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering. these indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system. secondly, the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation. finally, parameters of engineering design are expanded as searching space ; and parameters of speed regulator and current regulator are taken as genes in chromosome. these genes in searching space are optimized to get best solution by way of genetic algorithm. as shown by experimental results, the parameters designed by this method are capable of significantly improving performance indice of the system, which proves that it is a practical and effective method

    提出一種基於遺傳演算法的直流雙閉環調速系統參數優化設計方法.根據工程技術的要求，選用速度超調量和過渡時間作為參數優化性能指標.將該指標用模糊隸屬度函數歸一化，再加權平均形成系統優化模型的目標函數.採用計算機數值計算方法，通過模擬獲得系統對應參數的動態響應曲線及其性能指標.最後以工程設計的參數為搜索范圍，以速度調節器和電流調節器的參數為染色體中的基因，通過遺傳演算法在搜索范圍中優化這些基因，獲得優化解.實驗結果表明，所設計的參數能使系統性能指標有顯著提高
  18. An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages

    針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。
  19. The research presented in this thesis was a sub - project of the national high technology research and development program of china ( no. 2004aa424530 ) on case - based industrial design ( cbid ) system. the procedural knowledge retrieve in case - based nc machine tools form design system is the focus of the research. with the analysis of the theory, a cognitive experiment with the method of protocol analysis was conducted to capture and identify the procedural knowledge and design problem domain, and the model of procedural knowledge search is proposed with the concept of membership from fuzzy theory

    本文是「 863 」國家科技攻關項目「基於案例的工業設計技術（ casebasedindustrialdesigncbid ）和輔助設計應用系統研究」的研究子課題之一，文章研究重點為系統中數控機床工業設計中程序型知識檢索，通過理論分析和實驗研究，探討其在cbid系統中的實際應用模式，最後引入模糊數學中隸屬度的概念，探討了其在系統中的實現方式。
  20. Approach to multi - objective decision - making with fuzzy information based on relative membership degree

    基於相對隸屬度的模糊信息的多目標決策法
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