模糊線性規則 的英文怎麼說

中文拼音 [móhúxiànxìngguīzé]
模糊線性規則 英文
fuzzy linear programming
  • 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
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 規 : Ⅰ名詞1 （畫圓形的工具） instrument for drawing circles 2 （規則; 成例） rule; regulation 3 [機械...
  • 則 : Ⅰ名詞1 （規范） standard; norm; criterion 2 （規則） regulation; rule; law 3 （姓氏） a surname Ⅱ...
  • 模糊 : 1 （不清楚） dim; vague; indistinct; obscure; fuzzy; blurred 2 （混淆） blur; obscure; confuse; m...
  • 線性 : [數學] [物理學] linear; linearity線性代數 linear algebra; 線性方程 linear equation; 線性規劃 line...
  • 規則 : 1. （規定的制度或章程） rule; regulation; ordination; prescribed procedure; rope 2. （整齊） regular
  1. Considering the big scope and nonlinear characteristic of tyre wheel model parameters, combination controller of fuzzy and integral is here applied, and its fuzzy control rule table and fuzzy control lookup table are listed

    針對機輪模型參數變化范圍較大，並且具有非線性的特點，研究了模糊積分混合控制器，給出了模糊控制規則表和模糊控制查詢表，並進行了模糊積分混合控制的模擬。
  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. In this dissertation, two kinds of optimization, methods are proposed. firstly, only these linking weights corresponding to the control rules that affect the control performance significantly are updated in order to reduce the compute works and speed up the training progress. secondly, the updating step is adjusted adaptively in accordance with the error and the change of error of the system based on the t - s model to get better performance

    針對模糊神經網路控制器一般存在著在線權值調整計算量大、訓練時間長、過度修正權值可能導致系統劇烈振蕩等缺點，提出了兩種模糊神經網路控制器的優化方法：在線自學習過程中僅對控制性能影響大的控制規則相關的權值進行修正，以減小計算量，加快訓練速度；基於t - s模糊模型，根據偏差及偏差變化率大小動態自適應調節權值修正步長，抑制控制器輸出的劇烈變化，避免系統發生劇烈振蕩。
  4. With fuzzy control being rule - based control approach, not need mathematical model of objectives, it has a better control result than conventional approach in some complex nonlinear system

    摘要由於模糊控制技術是一種基於規則的控制，不需要被控對象的精確數學模型，在一些復雜的非線性控制系統中模糊控制比經典控制方法有更好的控制效果。
  5. Stpidflc ' s output scaling factors gu is adjusted on - line by fuzzy rules according to the current trend of the controlled process

    具有魯棒性的自整定模糊控制器的輸出比例因子gu是由另外一模糊規則庫根據被控過程的當前趨勢在線調整。
  6. Effective guidance is one of the most important tasks to the performance of air - to - air missile. based on the proportional navigation, fuzzy logic and genetic algorithm are combined to develop an evolutionary fuzzy guidance 1 aw with s elf - adapt region for the air - to - air missile guidance

    並在傳統的模糊邏輯控制基礎上引入了一個非線性變論域函數，從而實現了模糊變量論域的動態改變，然後使用遺傳演算法對導引規則進行了尋優。
  7. Avoiding the use of mathematic models, the fuzzy logical control ( flc ) system meets the control demands of the tunnel ventilation process well which is a nonlinear distribution system. but because of its lacking of learning and adaptive ability, many problems has emerged when using flc : the membership functions of the fuzzy variables cannot be changed, the fuzzy logical rules cannot be modified automatically when environmental variables such as traffic model, average exhaust, etc, are changed. for this reason, the paper uses fuzzy neural network control ( fnnc ) system to improve the control process

    模糊控制系統避開了數學模型，能很好適應公路隧道通風系統非線性和分散式參數特徵，但是模糊控制系統本身的學習和適應能力差，導致了模糊變量各語言值隸屬函數和控制規則不能隨著環境參數（如交通量、基準排放量等）的改變而自動調整和修改等問題，本文將具有強大學習能力的神經網路融合到模糊控制系統中，研究和探討了隧道通風模糊神經控制方法。
  8. Using the grid - type method to partition the space, regarding the modeling data as the antigen and the fuzzy rules as the antibody, this method determines the structure of t - s system with immune theory and adopts the least square method to estimate consequent parameters of the linear rule

    該方法結合網格空間劃分方法，以建模數據為抗原，模糊規則為抗體，採用人工免疫原理確定系統結構，並應用最小二乘方法估計線性規則後件參數。
  9. On the base of the research, the function and principle of the superficial temperature on - line inspection of the many paralleled rotating kiln is designed, and the software and hardware of the intelligent control of the scanner is researched, and the change rule fuzzy control theory and technique is brought forward and put in practice. in order to improve the inspecting precision and reliability of the system, many ways to dispose the temperature data are researched

    在對多平行回轉窯表面溫度紅外在線監測功能及原理的分析、設計的基礎上，著重對紅外掃描智能控制軟硬體進行了研究，提出、實施了紅外掃描儀跟蹤、定位的變規則模糊控制理論與技術；探討了溫度數據的多種預處理方法，提高了系統監測精度、可靠性。
  10. For the first time this dissertation discusses the feasibility of data mining for the fields data of cfbb ， analyses the preprocessing technology of sample data ， introduces the application of clustering analysis ， and finally completes the rule extraction by applying knowledge - based artificial neural network. considering distributed parameters ， nonlinear ， and long time lag system of cfbb ， the theory of self - organizing neural fuzzy inference system is applied to the control system of cfbb ， and enables control rules extraction on - line. the models of data mining and self - organizing ( fbnc - pnn controller ) are programmed ， embedded to the control system of a 35 t / h cfbb in tsingtao ， and finally improve the performance of cfbb effectively

    本文還針對流化床鍋爐運行的非線性嚴重、大滯后、不確定性大等特點，研究了基於數據挖掘優化的模糊神經自組織控制策略在循環流化床控制系統中的應用，使規則獲取可以在線進行；並編制了數據挖掘模塊優化自組織控制模塊，應用到青島35t / h循環流化床鍋爐的控制系統中，提高了鍋爐的運行水平和效率，取得了良好的效果。
  11. In the aspect of the selection of fuzzy probability of bottom event, the concept of the basic condition in the priority of selecting the fuzzy number model is brought forward, and traits of the fuzzy number model is analyzed and compared. the reason that the accurate probability is replaced with the probability of linear fuzzy number is elucidated. and the definition and arithmetic of the logic gate fuzzy arithmetic operators is established

    在模糊故障樹分析法選擇底事件模糊概率方面，本文提出了優先選擇模糊數模型的基本條件的概念，分析比較了各種模糊數模型的特點，闡明運用線性模糊數概率取代精確的概率值的理由，並根據模糊數（ f數）及其運算規則，導出邏輯門模糊運算元定義及演算法。
  12. Now in economical globalization, competition superheating and the information technology application has met development time rapidly, the informationization already became the life of enterprise and the core competitive power, enterprise ' s development cannot leave the informationization. because the enterprise informationization is a quite arduous complex systems engineering, to our country many overall enterprises said still was the brand - new topic, regardless of in the plan in the construction informationization process, the it enterprise, the consultant firm stemming from the pure business objective and the competition need, aware, not on own initiative misleads the enterprise, the exaggerating enterprise to the informationization technology, the application and the effect understanding, causes it to plan and constructs this enterprise the informationization project to be separated from the enterprise present situation. our country informationization construction both must quicken pace, and must embark from the reality. “ persisted the informationization impetus industrialization, the industrialization promotion informationization, walks the new industrialization path

    本文以企業信息化投資強度的為主線，描述了投資強度的分佈規律以及曲線，從投資強度的控制對策入手進行分析研究，根據投資強度的影響因素指標體系的設計原則，設立影響因素指標體系的設計分層目標，在構建投資強度影響因素體系的基礎上，提出了投資強度影響因素總體設計框架和投資強度影響因素的指標確認方法，利用科學的對比、統計手段，構建影響因素的結構性矩陣框架，創新性提出了影響投資強度匡算模型，本文系統性概括了信息化投資的二維界定方法，針對企業信息化投資強度給出一個總體的概述，並且從信息化投資過程綜合復雜的關系中梳理出一個綜合模糊使用數理模型。
  13. Because ann can be used without the specific model of object, and it stores useful information as distributed manner, we usually make use of the topological structure and weights of neural network to realize nonlinear mapping, which make those weights full of meaning

    由於模糊神經網路不需要對象的精確模型，它以分佈的方式存儲信息，利用網路的拓撲結構和權值分佈實現非線性映射，在神經網路框架下引入模糊規則，使網路中的權值有明顯的意義。
  14. Fuzzy linear programming with constraint coefficients of triangle fuzzy numbers is transformed into classical linear programming by using a new ranking criterion of fuzzy numbers

    摘要利用一種新的模糊數排序準則，提出了約束條件中含有三角模糊數的模糊線性規劃轉化為經典的線性規劃的方法。
  15. Building thermal systems and grain drying systems are nonlinear time - delay coupled thermodynamic processes and considerable difficulty was meet when classical and modern control theories based on accurate mathematical model were used to control these plants. however, fuzzy control theory that can convert specialist knowledge into control rules brings new view for these complex systems control

    建築熱工系統和糧食乾燥系統都是復雜的非線性時滯耦合熱工過程，以精確數學模型為基礎的經典控制方法和現代控制方法對這類系統進行控制時都遇到了較大的困難，而能夠將專家經驗轉化為控制規則的模糊控制理論給這些復雜系統控制問題的解決帶來新的思路。
  16. 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

    公路隧道通風系統具有很強的非線形特徵，傳統的線性控制理論難以獲得精確的數學模型，因此模糊控制等現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、控制規則難以確定的問題。
  17. Then a kind of fuzzy - smith control strategies for a large dead - time system is studied and improved. the simulation results show that the fuzzy - smith control method has some excellent performances, which is suitable for systems with deadtime - varying parameters. considering that the conventional fuzzy has a shortcoming of invariable fuzzy rules, an algorithm of adjustable fuzzy rules based on a single neural cell is proposed in this paper, which is used for modifying the fuzzy control query table on - line

    本文分析了模糊控制、神經網路和常規控制演算法存在的不足，研究了如何將各演算法的優勢互補，相互融合，形成復合的自適應智能控制演算法；針對大時滯系統的特點研究了fuzzy - smith控制演算法，並在前人基礎上做出了一定的改進研究，進一步提高了fuzzy - smith控制演算法的性能；又將常規pid與神經網路有機結合，研究了單神經元pid控制演算法：針對常規模糊控制不可調整模糊控制規則的局限，本文利用單神經元的自適應、自學習能力對模糊規則庫進行了間接在線自調整。
  18. Some methods, such as adding integrator ; making use of neural network to remember fuzzy rule ; utilizing bang - bang controller and adjusting scale and proportion factors online, are researched to modify normal fuzzy controller for optimizing srd ' s dynamic and static performance. the simulation results given in this paper show the srd with modified fuzzy controller has excellent performance

    本文以提高srd動、靜態性能為指標，研究了如下幾種改進模糊控制的方法： （ 1 ）串聯或並聯積分器以提高靜態精度； （ 2 ）利用神經網路記憶模糊控制規則； （ 3 ） bang - bang控制與模糊控制結合； （ 4 ）在線調整量化因子與比例因子。
  19. This paper focuses on the research of fuzzy control, especially rule self - adjusting fuzzy control method. by theoretic analysis and simulations, the influences of parameters and system performance characteristic of some kinds of rule on - line self - regulating fuzzy control methods are discussed, and a novel real - time self - adjusting fuzzy control method ( vsrsafc ) is proposed from the diagrammatic point of view. in vsrsafc, the slope of the rectifying curve of rule scaling factor a is altered by the fine - tuning and coarse tuning combined mechanism to adjust the fuzzy control rules according to error e and error change ec, which more coincides with characteristic of system response than the conventional self - adjusting method that adjusts rule scaling factor only according to the error e, and has better static and dynamic performances than the latter

    其中變斜率規則自調整模糊控制的效果較為明顯，它是基於插值的非線性規則自調整模糊控制的引申以及常規全論域規則自調整模糊控制的改進，該方法採用粗、細調結合機制，通過改變規則調整因子的修正曲線斜率，使系統同時根據誤差e以及誤差變化ec在線調整模糊控制規則，比傳統的僅基於系統誤差e的自調整方法更符合系統響應特性，可獲得更好的動靜態控制性能，特別是對于系統參數發生改變、控制參數選取不當等不良狀況，控制器仍能較快自調整，具有較強的在線自適應能力。
  20. The use of this controller makes the performance of system improved greatly. furthermore, a type of self - adaptive fuzzy controller based on single neuron is designed to adjust fuzzy control rules according to the system ' s desired performance

    然後，將模糊控制、自適應控制以及神經元控制等技術相融合，設計了一種基於單個神經元的自適應模糊控制器，使得模糊控制規則可以根據控制性能指標進行在線調整。
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