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fuzzy membership function in Chinese

Pronunciation:
How to pronounce "fuzzy membership function""fuzzy membership function" in a sentence

Translationmobile phoneMobile

  • 模糊元函數(shù)

Examples

  • A hierarchical adaptive fuzzy control system for an isolated urban traffic intersection is proposed , and an evolution strategy is used to modify the fuzzy membership functions of the system
    摘要提出一種面向城域單交叉路口的自適應(yīng)分級模糊控制系統(tǒng)，采用進化策略對分級模糊控制器的模糊隸屬度函數(shù)進行離線優(yōu)化調(diào)整。
  • Using gaussian fuzzy membership functions in conjunction with the least - squares principle , a novel approach is developed for intelligent fuzzy modeling and adaptive control strategy of uncertain chaotic system
    利用高斯模糊隸屬函數(shù)和最小二乘法，在無需求解系統(tǒng)不動點的情況下，可將混沌運動鎮(zhèn)定到任意指定目標位置。
  • This paper introduces an evading obstacles method of mobile robot which is in an uncertain environment , and the mobile robot can evade the obstacles detected by means of fuzzy control algorithm , which adopts fuzzy membership function with real physical content
    摘要闡述了在不確定環(huán)境下，機器人通過在探測過程中采用基于實際物理意義的隸屬函數(shù)的模糊算法來躲避障礙物的方法。
  • The paper analyzed the relationship of the scale factors and several main performance indexes of the system ' s respond curve like over - regulation , divergence , surge - degree , steady - state error and transient time , and denoted these indexes by some fuzzy membership functions
    溫室溫度響應(yīng)的主要動態(tài)性能指標包括：超調(diào)量、系統(tǒng)發(fā)散程度、系統(tǒng)振蕩程度、穩(wěn)態(tài)誤差、過渡過程時間等。
  • Then employing neural networks learning techniques , fuzzy logic rules , input - output fuzzy membership functions and weights in networks can be easily tuned . so rule matching is reduced , inference process is accelerated , adaptability of the system is greatly improved
    再利用神經(jīng)網(wǎng)絡(luò)學習能力便很容易修改規(guī)則庫中的模糊規(guī)則以及隸屬函數(shù)和網(wǎng)絡(luò)權(quán)值等參數(shù)，這樣大大減少了規(guī)則匹配過程，加快了推理速度，從而極大程度地提高了系統(tǒng)的自適應(yīng)能力。
  • In order to solve the above - mentioned problems , this paper makes the comfortableness index objective function directly and by genetic algorithm , optimize automatically fuzzy membership function and control rules with environment change . by these means , fuzzy inverter air - conditioner will have a true intelligence character
    本論文針對上述問題，直接以空調(diào)系統(tǒng)舒適性為多目標優(yōu)化函數(shù)，利用遺傳算法進化理論對模糊控制系統(tǒng)的隸屬函數(shù)和控制規(guī)則進行協(xié)同自動尋優(yōu)控制，達到基于遺傳算法模糊協(xié)同智能控制的目的。
  • The road tunnel ventilation system has strong non - linear characteristic and it is difficult to gain the precise mathematical model by using the traditional linear control theory , therefore , the modern control methods such as the fuzzy control become the trend for the road tunnel ventilation control . however , there are some difficulties with the establishment of the fuzzy membership functions and the rule base
    公路隧道通風系統(tǒng)具有很強的非線形特征，傳統(tǒng)的線性控制理論難以獲得精確的數(shù)學模型，因此模糊控制等現(xiàn)代控制方法成為公路隧道通風控制的趨勢，但模糊控制存在隸屬函數(shù)、控制規(guī)則難以確定的問題。
  • 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
    提出一種基于遺傳算法的直流雙閉環(huán)調(diào)速系統(tǒng)參數(shù)優(yōu)化設(shè)計方法.根據(jù)工程技術(shù)的要求，選用速度超調(diào)量和過渡時間作為參數(shù)優(yōu)化性能指標.將該指標用模糊隸屬度函數(shù)歸一化，再加權(quán)平均形成系統(tǒng)優(yōu)化模型的目標函數(shù).采用計算機數(shù)值計算方法，通過仿真獲得系統(tǒng)對應(yīng)參數(shù)的動態(tài)響應(yīng)曲線及其性能指標.最后以工程設(shè)計的參數(shù)為搜索范圍，以速度調(diào)節(jié)器和電流調(diào)節(jié)器的參數(shù)為染色體中的基因，通過遺傳算法在搜索范圍中優(yōu)化這些基因，獲得優(yōu)化解.實驗結(jié)果表明，所設(shè)計的參數(shù)能使系統(tǒng)性能指標有顯著提高
  • Based on the principle of fuzzy analytic hierarchy process ( ahp ) , judging matrices were constructed for quantitative calculating the membership of each subjective annoyance expression grade , in view of different environmental function districts , then corresponding environmental fuzzy membership functions were given , and applied to calculate the noise threshold of subjective annoyance response
    摘要根據(jù)模糊數(shù)學層次分析法( ahp )的原理，構(gòu)造判斷矩陣，針對不同的環(huán)境功能區(qū)域，定量計算各主觀煩惱度表述等級的隸屬度，求出了相應(yīng)環(huán)境下的模糊隸屬函數(shù)，并運用于噪聲主觀煩惱反應(yīng)閾值的計算。
  • In spite of different methods to a fuzzy optimal solution to the two classes of fuzzy linear programming , these methods have similar ideas : first is to fuzzify the objective function and constraints , i . e . , to display the definition of fuzzy membership function . second is to transfer the fuzzy linear programming into one general linear programming , based on the fuzzy decision , then we can obtain the fuzzy optimal solution by solving this linear programming
    雖然求這兩類模糊線性規(guī)劃的模糊最優(yōu)解的方法并不相同，但其思想具有相似性：首先是把目標函數(shù)或約束條件模糊化，給出他們的隸屬函數(shù)的定義；然后給出模糊判決，在此基礎(chǔ)上，規(guī)劃最終都可化為求一個普通規(guī)劃的解，這個解可看成模糊線性規(guī)劃的模糊最優(yōu)解。
  • More examples：  1  2
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