模糊遺傳系統 的英文怎麼說

中文拼音 [móhúyízhuànxìtǒng]
模糊遺傳系統 英文
fuzzy-genetic system
  • 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）...
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 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
  • 系統 : 1. （按一定關系組成的同類事物） system 2. （有條理的;有系統的） systematic
  1. 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。
  2. 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
  3. 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
  4. 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。
  5. Sim - cheng lin, yung - yaoo chen. design of silf - learning fuzzy sliding mode controllers based on genetic algorithm. fuzzy sets and systems. 1997, 86 : 139 - 153

    鄭懷林，陳維南.基於遺傳演算法的模糊滑模控制器設計及其在直流伺服系統中的應用.電氣自動化， 2000 （ 1 ） 38 - 39
  6. Site experiment were carried out on the testing vehicle for ahs and the magnetic markers road in national intelligent transport system center. also, study on multi - sensor information fusion and control model by using neural net system, fuzzy logic and genetic algorithm were carried out. the work completed are as follows mainly : ( 1 ) hardware system for lane keeping system including magnetic marker, magnetic sensor, control system and executor machine were designed

    本文以國家智能運輸系統研究中心的自動公路系統試驗車和專用的磁軌釘道路為工作平臺，在大量的現場實驗基礎上，針對基於磁軌釘導航的車輛車道保持技術中的若干問題展開研究，運用神經網路、模糊邏輯、遺傳演算法等方法在多傳感器信息融合、控制模型等方面進行了系統的研究，主要完成了以下幾方面的工作： （ 1 ）對車道保持系統硬體平臺進行了設計，論述了導航設施? ?磁軌釘的設計過程和車載工控機、步進電機等的選擇。
  7. In the paper, a speed estimator based on artificial neural network is designed according to the principle of direct torque control, the speed estimator is optimized by genetic algorithm, and the parameters of pid speed adjuster is also optimized by genetic algorithm. a stator linkage and torque observer based on stator resistance estimator using fuzzy neural network is also designed. eventually, the intelligent control of direct torque control system is implemented

    本文根據異步電動機直接轉矩控制原理，在應用人工神經網路進行速度辨識的基礎上，利用遺傳演算法對神經網路速度辨識器進行了優化設計；運用遺傳演算法對pid速度調節器的結構和參數進行了整合；在採用模糊神經網路對電機定子電阻辨識的基礎上，進行了定子磁鏈及轉矩的觀測，為最終實現無速度傳感器直接轉矩控制系統的智能控制創造了條件。
  8. This paper exhausts fully adjustable factor which could amend the dynamic function in fuzzy control system, and that traditional algorithms select factors with intercession is easy to get a partial solution, so this paper presents a new method to select factors based on genetic algorithm. this method has a large range over covered the solutions which could benefit to search the best solutions. it has great character and advantage

    本文充分闡述了可調整因子在模糊控制中能夠改善了系統的動態性能，並根據傳統的優化演算法在選取控制因子時是從單個初始值迭代求取最優解的、很容易陷入局部最優解這一問題，提出了一種基於遺傳演算法的可調整因子的選取方法，這種方法覆蓋面比較大，有利於全局擇優。
  9. In this paper, fuzzy pid controller based on t - s model has been studied. due to lacks of criterion of optimization and excessive tuning parameters, the adaptive genetic algorithm with variable cross and mutation probability is used to optimize the parameters and the performance of control systems is improved. firstly, based on modified pid - flc with four fuzzy rules, scaling factor and the fuzzy consequent parameters are optimized by aga with multiple performance indexes respectively

    本文主要研究基於t - s模糊模型構成推理形式的模糊pid控制器，針對以往的模糊pid控制沒有統一的參數整定的準則及大量的待整定參數，本文採用具有動態交叉、變異概率的自適應遺傳演算法（ aga ）優化控制器的待定參數，改善了系統的控制性能。
  10. The stress is basing coal - fired boiler inflammation system feature and control demand to design a kind of fuzzy - pi controller on based of genetic algorithm to control it. the controller refers the error and its variety rate as its inputs. and, in order to make the control qualities much better, concerns them as the performance index to optimize the membership function of the fuzzy variables and the pi ' s controller parameter by means of online adjujsting the genetic algorithm, inflammation system steam pressure loop and economic inflammation loop

    重點是針對燃煤鍋爐燃燒系統的特點和控制要求，設計了一種基於遺傳演算法的模糊- pi復合控制器對其進行控制，該控制器以偏差、偏差變化率作為輸入量，通過遺傳演算法在線調整模糊控制器的模糊變量隸屬度函數和pi控制器的參數，從而達到優化模糊控制規則和pi控制器參數的目的，實現燃燒系統的蒸汽壓力迴路和經濟燃燒迴路的控制要求。
  11. In order to complete the research on optimal control regular for coal - fired boiler inflammation system. in this paper, a type of coal - fired boiler inflammation system is regarded as the research target, after separately analyzed steam pressure loop and economical inflammation loop, we obtained the relevant control scheme, and designed a kind of fuzzy - pi compound controller on based of genetic algorithm to control two loops, and using genetic algorithm tool kit below the matlab progressed system simulation research

    為了完成對燃煤鍋爐燃燒系統的最優控制規律的研究，本文以某型燃煤鍋爐的燃燒系統作為研究對象，分別對其蒸汽壓力迴路和經濟燃燒迴路進行系統分析，得到了相應的控制方案，設計了一種基於遺傳演算法的模糊- pi復合控制器對該系統進行控制，並用matlab下的遺傳演算法工具箱進行了系統模擬研究。
  12. In order to avoid matching the fault symptoms with the identification conditions artificially, ( fuzzy ) neural network was designed for diagnosis according to the optimal decision system. for the continuous quantitative diagnosis data such as the measurement, and the result of signal processing, a new hybrid system of self - organizing map ( som ) / fuzzy c - means ( fcm ), rough sets theory, and adaptive neuro - fuzzy inference system ( anfis ) was presented. firstly, the continuous attributes in diagnosis decision system were discretized with som or fcm

    對于連續的定量故障診斷數據（監測數據） ，以4135柴油機為例，提出了自組織映射（ som ）模糊c -均值（ fcm ） ?粗糙集?自適應模糊神經網路推理系統（ anfis ）集成的具體故障診斷實施方案：首先，應用som或fcm離散故障診斷數據中的連續屬性值；然後，基於粗糙集理論應用遺傳演算法計算診斷決策系統的約簡，按照實際需要確定診斷條件；最後，根據系統約簡設計anfis進行故障診斷。
  13. 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
  14. 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。
  15. In this thesis 2 - dimension fuzzy - control system with adjustable factors was analyzed and simulated using matlab as tool of data processing. genetic algorithm was used to search for the best adjustable factors

    本論文用matlab作為數據處理工具，分析和模擬帶可調整因子的二維模糊控制系統；用遺傳演算法作為尋優演算法搜索最佳可調整因子。
  16. Chapter 4 gives a full - scale study and analyse about ga and moga, presents the main idea of ga and moga, analyses a typical moga. the fuzzy controller parameters of an aero - engine model is optimized by nsga - ii in all possible operation points of two working condition. the result shows good dynamic and stable performance

    然後，使用先進多目標遺傳演算法nsga - ii對航空發動機模糊控制系統的參數進行了兩個飛行狀態下所有可行工作點的優化選取，各個工作點的優化結果表明模型的控制系統響應速度快、超調量小、穩定效果佳。
  17. In the dissertation, the genetic algorithm is employed to combine with fuzzy control to design and implement the autopilot control system. the ga is used to optimize the parameters of fuzzy control system. the following simulations show that the fuzzy autopilot control system optimized by ga has higher control accuracy, better robustness and resistant disturbance capability

    本文引入了遺傳演算法與模糊控制相結合的控制方法實現了潛艇自動舵系統的設計和實現，採用遺傳演算法優化控制參數后模糊控制系統與單一的模糊控制系統分別進行模擬，其結果表明，優化后的控制系統對于外界參數的改變能夠達到控制的目的，提高控制的精度，基於模糊控制和遺傳演算法的自動舵顯示了更好的魯棒性和抗干擾能力。
  18. 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，直接以空調系統舒適性為多目標優化函數，利用遺傳演算法進化理論對模糊控制系統的隸屬函數和控制規則進行協同自動尋優控制，達到基於遺傳演算法模糊協同智能控制的目的。
  19. This paper exhausts fully in theoretically for its feasibility practicability adoption when select factors based on genetic algorithm ; and this paper presents flow process diagram of genetic algorithm ; and beside this, it proceeds matlab - simulink for a settled question combined matlab fis. form the outcome, we can conclude that this is a good method to select factors. and this method has its theoreticism and actuality

    本文對遺傳演算法在選擇可調整因子所具有的可行性、可行性和適應性在理論上做了充分的闡述；同時給出了遺傳演算法的流程設計；並且，結合matlab模擬工具中模糊推理系統工具箱的使用，針對所設定的控制對象，結合遺傳演算法所選取出的可調整因子、進行了模擬研究。
  20. Aiming at the difference between the urban traffic network and the isolated intersection, designing the double flcs system, and real - timed optimizing the sequential membership functions of the inputs and output of the secondary flc. explaining the coding scheme, fitness function, ga operator, etc details. the effectiveness is proved by the simulation result of matlab

    3 、將研究對象從孤立交叉路口轉移到整個城域路網（多交叉路口）上，針對城域路網不同於孤立交叉路口的特點，設計了雙模糊控制系統，並根據路網車流量的變化，運用ga對輔助模糊控制器（ secondaryflc ）的輸入、輸出量的連續的模糊子集隸屬度函數進行實時優化，詳細闡述設計思想、編碼方案、適應度函數的選取、遺傳運算元的改進等細節問題，模擬證明該自適應雙模糊控制系統的有效性。
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