模糊遺傳演算法 的英文怎麼說

中文拼音 [móhúyízhuànyǎnsuànfǎ]
模糊遺傳演算法 英文
fuzzy genetic algorithm
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 糊 : 糊名詞（樣子像粥的食物） paste
  • 遺 : 遺動詞[書面語] （贈與） offer as a gift; make a present of sth : 遺之千金 present sb with a gener...
  • 傳 : 傳名詞1 （解釋經文的著作） commentaries on classics 2 （傳記） biography 3 （敘述歷史故事的作品）...
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 模糊 : 1 （不清楚） dim; vague; indistinct; obscure; fuzzy; blurred 2 （混淆） blur; obscure; confuse; m...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. Parameter of parallel multi - deme fuzzy genetic algorithm

    并行多種群模糊遺傳演算法參數
  2. They learn from others " strong points to offset one ' s weakness, therefore two research direction - genetic fuzzy system and fuzzy genetic algorithm ( fga ) - appear

    現階段，模糊遺傳演算法的發展還不十分成熟，對其認識也眾說紛紜。
  3. Majority think that fga is the ga resulting from the integration that the use of fuzzy tools and fuzzy logio - based techniques for modeling different ga components and adapting ga control parameters, with the goal of improving performance

    大部分學者認為模糊遺傳演算法是用基於模糊邏輯的模糊工具或模糊邏輯技術來優化遺傳演算法的組成成分或控制參數，來提高演算法性能。
  4. On the basis of former work, author presents a fga based on the diversity measure. in order to keep the dynamic balance between eer, t ' uz / y logic controller ( flc ) was used to adjust ga ' s important parameters dynamicly

    本文在前人研究的基礎上，基於群體多樣性測度設計了一個模糊遺傳演算法，利用模糊邏輯控制器來動態調整遺傳演算法中的重要參數，保持遺傳演算法eer的動態平衡。
  5. Fuzzy neural controller based on genetic algorithm

    基於遺傳演算法的模糊神經控制器
  6. ( 3 ) a minutiae matching method combining genetic algorithm and fuzzy logic is proposed

    （ 3 ）提出了綜合利用遺傳演算法和模糊邏輯的細節點匹配方法。
  7. 2. a method combining some of the composite space structural simulation, wavelet analysis, fuzzy mathematical, genetic algorithm, artificial intelligence, expert system, vibration diagnosis, acoustic sounding, supersonic flaw detection, radioscopy, infra - red detection and so on to diagnose the composite structure damage is discussed

    本文對把復合材料大跨建築結構模擬、小波技術、模糊數學、遺傳演算法、人工智慧、專家知識、振動診斷、聲發射技術、超聲波檢測、射線探傷、激光全息檢測、紅外線檢測等方法中的幾種融合在一起對復合材料大跨建築結構進行損傷診斷的方法進行了探討。
  8. In study of the submarine movement in deep sea a new approach with fuzzy sliding - mode control and double - gene genetic algorithm is proposed for designing combined maneuvering control system of submarines. simulation results showed that the approach not only remains robustness of sliding - mode control, but also avoids thq effect of chattering phenomenon, possess better performance of the system

    在研究潛艇在深海航行的操縱控制中，首次提出了具有雙基因遺傳演算法的模糊滑模控制器的新方法，模擬結果表明了該方法不僅避免了抖振的影響，而且具有很好的系統性能。
  9. A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes

    針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型
  10. It is applicable to various structural distribution networks. while resolving the " large area restoration ", the genetic algorithm execute three same and simple genetic operators : selection, crossing and mutating. it make a self - adaptable and probability overall searching under the leading of fitness value in the whole searching scale until acquiring the best result

    在求解網路故障后重構問題時，互動式模糊遺傳演算法通過循環執行相同的、極其簡單的選擇、雜交和變異三種遺傳操作，並在適應度函數值的引導下在搜索空間進行自適應概率性全局搜索，直至獲得全局最優解。
  11. The enhancement of eye funds image based on an improved fuzzy algorithm

    基於模糊熵及遺傳演算法的圖像增強技術
  12. Self - learning hybrid fuzzy adaptive genetic algorithm

    基於特殊二進制編碼的自學習模糊遺傳演算法
  13. Solving unit commitment problem based on fuzzy genetic algorithm

    基於模糊遺傳演算法的機組組合問題的求解
  14. Fuzzy genetic algorithm - based electro - hydraulic servo system control

    基於模糊遺傳演算法的電液位置伺服系統控制
  15. Parameter optimization in industrial process control based on fuzzy genetic algorithm

    基於模糊遺傳演算法的工業過程式控制制參數優化研究
  16. On the one hand, ga can be used to process the fuzzy information in the imprecise circumstance. on the other hand, fuzzy logic is regard as tool to solve some problems concerning ga

    一方面用遺傳演算法處理非精確環境下的模糊信息，另一方面用基於模糊邏輯的療法來處理現有遺傳演算法中的問題，相互取長補短，由此發展了兩個方向? ?遺傳模糊系統與模糊遺傳演算法。
  17. The running result of practical example applied in this paper show that the genetic algorithm is a kind of excellent algorithm because its running course is very simple and the optimal result is enough and it can be applied in many domains

    本文中所採用的實例的運行結果更說明了互動式模糊遺傳演算法的整個運行過程簡單且計算有效，是一類優秀的通用性強的重構演算法。
  18. The results of optimization on mathematical functions showed that the shortcoming of sga can be overcome, and the relying on the initialization of parameters can be effectively avoided. the quality of the solution and the convergent speed also can be improved

    函數優化算例表明，模糊遺傳演算法（ fga ）能有效地消除遺傳演算法對參數初值的依賴性，提高尋優質量，改善收斂性。
  19. The floatwall in combustor is an important structure for aero - engine to improve its power - to - weight. fga - fem was put forward to optimize the floatwall structure, and fga - fem combined fuzzy genetic algorithm ( fga ) and finite element method ( fem )

    本文提出一種採用有限元方法（ fem ）和模糊遺傳演算法相結合的方法即模糊遺傳演算法-有限元的結構優化方法（ fga - fem ） ，並將該方法應用於燃燒室浮動壁結構的優化計算和分析，取得了較好的效果。
  20. Based on above, we proposed the intelligently optimized and comprehensive diagnosis approach - genetic algorithm ( ga ) - based intelligently optimized diagnosis algorithm which is introduced in detail in this paper. following basic theory and approach about ga, optimized objective function is decided through fuzzy logic theory, then fitness function is derived and at last how to optimize and diagnose pattern parameters intelligently is discussed with ga, including coding approach, interlace, probability selection and single copy of optimizing parameters. based on our cooperative engineer, intelligent optimization and noise diagnosis processes are discussed and diagrammized in the software designing

    基於這些理論，我們研究出一種智能優化和綜合智能診斷方法，即基於模糊遺傳演算法（ f ? ga ）的智能優化診斷方法，論文對該方法作了詳細介紹：首先介紹了遺傳演算法的基本理論及方法，接著用模糊推理理論確定優化目標函數，然後根據優化目標函數導出適應度函數，最後介紹了如何用遺傳演算法對花紋參數進行智能優化和噪聲智能診斷的，其中，講述了各個待優化參數的編碼方法、交叉、概率選擇復制個體方法等。
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