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fuzzy membership in Chinese

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

Translationmobile phoneMobile

  • 模糊類屬度

Examples

  • Last , we synthesize all local optimal solutions and receive product design scheme through fuzzy membership degree method
    最后通過(guò)模糊隸屬度的方法將各局部最優(yōu)方案進(jìn)行綜合,得到一個(gè)產(chǎn)品設(shè)計(jì)方案。
  • By the model knowledge is expressed as fuzzy membership matrix , it is convenient for use of relation database system and decision of alternative plans
    將加工方案選擇知識(shí)以模糊隸屬度矩陣的形式表達(dá)，便于采用關(guān)系數(shù)據(jù)庫(kù)存儲(chǔ)，推理過(guò)程通過(guò)模糊關(guān)系運(yùn)算實(shí)現(xiàn)，便于多加工方案的決策。
  • 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(jí)模糊控制系統(tǒng)，采用進(jìn)化策略對(duì)分級(jí)模糊控制器的模糊隸屬度函數(shù)進(jìn)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(wú)需求解系統(tǒng)不動(dòng)點(diǎn)的情況下，可將混沌運(yùn)動(dòng)鎮(zhèn)定到任意指定目標(biāo)位置。
  • The dissertation builds the original feature set , fuzzy memberships and weights of small stamping die , which provides basic principle and method to resolve the practical problem . 3
    以沖裁模為研究對(duì)象，建立其初步的特征工件集合、模糊相似關(guān)系和權(quán)值，提供了解決這一實(shí)際問(wèn)題的基本原則和方法，從理論上解決了模糊相似比較法的報(bào)價(jià)方法問(wèn)題。
  • 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(jī)器人通過(guò)在探測(cè)過(guò)程中采用基于實(shí)際物理意義的隸屬函數(shù)的模糊算法來(lái)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?jiǎng)討B(tài)性能指標(biāo)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(guò)渡過(guò)程時(shí)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(xué)習(xí)能力便很容易修改規(guī)則庫(kù)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(guò)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。
  • 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(jīng)網(wǎng)絡(luò)的模糊化層除了具有模糊化神經(jīng)元，還加入一類模糊聚類神經(jīng)元。模糊聚類神經(jīng)元通過(guò)預(yù)先計(jì)算的模糊聚類隸屬度矩陣來(lái)輸出對(duì)應(yīng)于離散輸入的模糊化值。
  • In chapter 6 we research on a denoising technique through shrinking the wavelet coefficients adaptively , then fuzzy membership in fuzzy mathematics is introduced to put forward wavelet fuzzy snr to evaluate quality of sar images based on it . experiment results and academic analyses show its efficiency
    第六章研究了小波系數(shù)自適應(yīng)收縮算法抑制斑點(diǎn)噪聲，在此基礎(chǔ)上引入模糊數(shù)學(xué)中隸屬度的概念，提出了一種新的評(píng)估sar圖像質(zhì)量的指標(biāo)一小波模糊信噪比。
  • More examples：  1  2
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