fuzzy rule-based method 中文意思是什麼

fuzzy rule-based method 解釋
基於模糊規則的方法
  • fuzzy : adj. 1. 有茸毛的，覆著細毛的，如茸毛的。2. 不清楚的。fuzziness n.
  • rule : n 1 規則，規定；法則，定律；章程，規章；標準；（教會等的）教規，條例，教條；常例，慣例。2 統治，...
  • based : 基準
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. 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
  2. By the browser / web server / database structure and the technology of asp. net and xml, we achieve the expert system running on the network, extend the application and ensure its backward compatibility ; we have the deep research to the representation of knowledge and apply it to the system, extend the traditional method of rule based knowledge representation ; introduce the fuzzy sets, analyze the generalized possibility interval sets, and combine the linguistic variables and fuzzy sets ; the system adopts the forward and backward chaining, researches the reasoning under uncertainty and inexact reasoning ; and we depart knowledge base and inference engine, make the upgrade simple and maintenance convenient. in the last, we construct the potato produce manage system according to the phases of potato ' s growth to give a detailed instruct to its produc e

    Net和xml技術，實現了網路化的專家系統，同時擴大了專家系統的應用范圍，提高了系統的後向兼容性；對專家系統中的知識表示技術作了深入探討，在傳統的基於規則的知識表示方法的基礎上，提出了基於規則擴展的知識表示方法，並較好地將其應用到本系統中；引入了模糊集合，分析並推導了廣義可能區間集，將其應用於模糊知識的表示，將語言變量和模糊集合結合起來；提出對系統採用互動式知識獲取途徑、雙向推理控制策略，對不精確推理和不確定性推理的傳播演算法作了一定的研究，成功地將其應用到馬鈴薯專家系統的構建之中；採用知識庫和推理機相分離的方法，使得系統升級簡單易行。
  3. In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1

    根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。
  4. Based on the feature technology and object - oriented mechanism, we found the manufacture - oriented three levels ( namely part, feature and geometry ) model of mechanical part and the resource model ; secondly, we realize the concurrent design of mechanical part and process through decomposing cycle, and then we constitute the evaluation guidelines on the basis of evaluation strategy of levels, which carry out from two levels ( part and feature ) and four phases ( part rough evaluation, feature rough evaluation, feature detail evaluation and part general evaluation ) ; thirdly, we put forward some evaluation methods according the evaluation guidelines, which include the rule - based process evaluation method, rule - based and fuzzy evaluation - based method associated with resources, case - bas ed and feature - based cost estimation method ; at last, we give a manufacturing - oriented evaluation system of rotating mechanical part, which validate the evaluation guidelines and method of the dissertation useful and practical

    以特徵技術為基礎，面向對象的編程機制為手段，建立了面向製造的三層次（即零件層、特徵層、幾何層）零件模型；同時進行了面向製造的資源建模。第二，通過細化循環，採用分層遞階的評價策略，分兩層（零件層和特徵層）四個階段（零件初評價、特徵初評價、特徵詳細評價和零件總體評價）建立可製造性評價指標；第三，以評價指標為基礎，分別提出了基於規則的結構工藝性評價方法、基於規則和模糊綜合評判定性和定量相結合的加工可行性評價方法、以及基於實例和特徵的加工成本估算方法；最後，以solidworks為開發平臺， vb6為編程工具，初步構建了面向製造的回轉類零件可製造性評價系統，它們驗證了本文評價指標和評價方法的實用性和可行性。
  5. In most of these neuro - fuzzy modeling methods, the anfis ( adaptive - network - based fuzzy inference systems ) method which was proposed by jang in 1993 is the most prominent one, its adaptive property made it possible to be used in adaptive control and learning control directly. in fact, it can replace any neural network of the control systems and carry out the same function. however, it has the same problem as most of the neuro - fuzzy systems - rule explosion problem

    在眾多的神經模糊建模方法中，數jang於1994年提出的anfis -自適應神經模糊建模方法最為突出，它的自適應性質使得它幾乎可直接應用於自適應控制和學習控制；事實上，它可以替代控制系統的任意神經元網路並執行同樣的功能。
  6. When we apply fuzzy control to a unknow process, we can " t find good control rule because of we don " t know it " s characteristics. this paper based on an analytic structure of fuzzy controller put forward a method, which combines fuzzy controller and neural network. use neural network to make identification of system and provide necessary message for ls. regard control object as an output part of network. based on message provided by neural network adopt bp algorithm to modify experience rule. thus, improve dynamic process of fuzzy control system. simulation results indicate ： this controller has better adaptability for variety of model parameters and can modify original system control rule, makes a output follow system input tracks faster

    在對不熟悉的過程進行模糊控制時，由於對過程的不了解，很難得到合適的控制規則.基於模糊控制器的一種解析結構，提出了將模糊控制器與神經網路相結合的方法.由神經網路對系統進行辨識，並為學習系統提供必要的信息，將控制對象視為神經網路的輸出部分，採用bp演算法根據神經網路提供的信息對經驗規則進行修改，從而改善模糊控制系統動態響應.模擬結果表明該控制器對模型參數變化具有較好的適應能力，能夠較快地修改系統的原控制規則，使對象輸出較快地跟蹤系統的輸入
  7. And a new fuzzy control method - - fuzzy control with real - time self - adaptive rule modification algorithm based on error convergence is proposed in this article

    同時，提出了一種新的模糊控制方法? ?基於偏差收斂的實時自適應規則校正演算法的模糊控制。
  8. At first, the model about information requirement in manufacturability evaluation is set up. based on the feature technology and object - oriented mechanism, the manufacture - oriented part model with three levels ( namely part, feature and geometry ) and the resource model is build ; secondly, the evaluation guidelines on the basis of evaluation strategy of fining with levels is constituted ; thirdly, an evaluation method according the evaluation guidelines is put forward, which is the rule - based and fuzzy evaluation - based method associated with resources. fourthly, a manufacturing - oriented evaluation system for machining blade part is built

    以特徵技術為基礎，面向對象的編程機制為手段，建立了面向製造的三層次（即零件層、特徵層、幾何層）零件模型，同時進行了面向製造的資源建模；第二，採用分層逐步細化的評價策略，建立可製造性評價指標；第三，以評價指標為基礎，採用基於約束規則和模糊綜合評判的加工可行性評價方法；第四，以ug為開發平臺， vc6 . 0為編程工具，航空發動機葉片為應用對象，初步構建了面向製造的葉片類零件的可製造性評價系統。
  9. In this fuzzy control scheme, fuzzy control rule was established carefully based on traffic control theory and experience. the method was simulated. the result of simulation indicated that the method has a little calculation, can efficiency use experienceof engineer and improve response speed. therefore this method can be used effectively in crossroad traffic sign control, improve control efficiency of crossroad

    在模糊控制方案的設計中，我們以信號交叉口交通控制理論為基礎，依據常識和經驗精心設計模糊控制規則，並根據交通模擬技術，將該方法的效果同定周期控制、感應控制方法進行了比較，從對比結果可以看出：該方法計算量小，並有效地利用了交通工程師的經驗，提高了控制的響應速度和實時性。
  10. It can be known that using pr ( product rule ) method combining with fs ( frame structure ) method can make knowledge expression more convenient and practical. using the " loose & tight coupling " style not only maked for the refresh, expand and administration of knowledges but also can improve the efficiency of system inference. aiming at different inference phases and problems, combining rbr ( rule _ based reasoning ) with fm ( fuzzy matrix ) reasoning by using different inference mechanism is easy to realize solve strategy of the fuzzy inference mechanism

    通過該系統的具體開發可知，採用產生式規則和框架系統相結合的方式，可以使領域知識的表達更加方便、實用；應用松緊耦合的方式建立系統知識庫，不僅有利於知識的更新、擴展與管理，而且能提高系統推理的效率；針對制動器設計過程中不同的推理階段和問題，採用不同的推理機制，將rbr / cbr推理與模糊矩陣推理技術相結合，易於實現不精確推理中問題的求解策略；利用人工智慧技術，結合cad / cae手段，是kbe設計方法比較可行的一種實現方式。
  11. Finally, shot detection from compressed video, based on dc image and motion parameters, is analyzed in detail ; 3 ) a spatio - temporal shot similarity rule is proposed to cluster video shots into video scenes, and fuzzy - clustering method for key frame extraction from video scenes is also given

    最後，詳細分析了基於dc圖像和運動參數的壓縮域鏡頭檢測方法； c ）提出了一種時-空融合的鏡頭相似性判斷規則，用於將鏡頭聚類為場景；同時，還給出了通過模糊聚類實現場景中關鍵幀自動提取的方法。
  12. A method is given based on the former researcher ’ s research work. the application of artificial control method in the mobile robot is discussed. after that, a second grade fuzzy control rule on the robot rotating angle and velocity is set up, while optimized based on the shortest path, to get the rotating angle and velocity control table

    本文在閱讀了大量有關移動機器人路徑規劃方法的文獻的基礎上，分析了智能控制方法在移動機器人路徑規劃問題上的應用，提出了一種基於模糊邏輯的機器人路徑規劃方法，設計了機器人轉角和速度的二級模糊控制規則，並用基於目標最短路徑對模糊控制規則進行優化，獲得機器人轉角的優化模糊控製表。
  13. The main aim of the proposed fuzzy rule - based method is to develop a useful decision making tool by discovering simplified fuzzy if - then rules, whose consequent part is a real number, from numerical data by using the proposed data mining technique based on genetic algorithm to automatically determine several pre - specified parameters

    本文的主要目的在於發展一有用之決策分析工具，使決策者可應用前述之資訊以制定適當之?銷或經營策? ，而在做法上系發展以基因演演算法為基礎之資?探勘技術，決定一些使用者難以設定之? ? ，以自所收集之資?中找出前?部與后?部分別為語意值組合與該組合相對應之消費者效用之簡化模糊規則。
  14. By processing the observed data sequences of target position using the fuzzy imm approach based on current statistics model, the proposed method integrates multiple filtering and predicted values of target state from different trackers using the adaptive weighting fusion approach based on total least - squares error rule, which improves the precision and robustness of tracking system

    該方法在對各跟蹤器輸出的目標位置測量值序列採用基於「當前」統計模型的模糊交互多模方法進行處理的基礎上，採用基於總均方誤差最小規則的自適應加權融合方法對目標狀態的多個濾波與預測值進行綜合處理，較大程度上提高了系統的跟蹤精度與穩定性。
  15. Control method based on combination ot fuzzy control and pid control is presented for characteristics of industrial boilers control system. the new kind of controller based on traditional pid controller employs fuzzy reasoning to accomplish pid parameters self - adjusting. to simulate this entire system using matlab simulator software, and to write the program in order to the illegibility control rule, and to realize the illegibility control

    對「 thj - 2型高級過程式控制制系統實驗裝置」 「 thj - 2型遠程數據採集過程式控制制系統」及其使用方法進行簡介，對于本實驗裝置所用到的mcgs組態軟體及rs - 485串口通訊，也作了比較詳細的描述，針對工業鍋爐控制系統的特點，採用將常規pid控制與模糊控制相結合的控制策略，在常規pid調節器的基礎上，採用模糊推理思想，根據不同的e 、 ec對pid參數kp 、 kl 、 kd進行自校正。
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