模糊推理機 的英文怎麼說

中文拼音 [móhútuīlǐjī]
模糊推理機 英文
indistinct logic computer
  • 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
  • 推 : 動詞1 （向外用力使物體移動） push; shove 2 （磨或碾） turn a mill or grindstone; grind 3 （剪或削...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 機 : machineengine
  • 模糊 : 1 （不清楚） dim; vague; indistinct; obscure; fuzzy; blurred 2 （混淆） blur; obscure; confuse; m...
  • 推理 : [邏輯學] inference; ratiocination; illation; reasoning; ratiocinate
  1. In algorithms, classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model. four classification algorithms, the bata - prime statistic model fusing quadratic gamma classifier, based on sar image rcs reconstruction and space position mode, on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model, are derived. the problems, including how to further improving the class ratio of the bayes decision, decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples, are solved

    提出了基於徑向基函數神經網路（ rbfn ）的雙隱層混合網路（ mdhrbfn ）模型，解決了標準神經網路在具體sar圖像地物分類中分類類別數目不夠和分類精度差的問題；提出了基於模糊推理系統的自適應模糊rbfn分類（ afrbfn ）模型，兼顧通用性與精確性，增強人機交互能力，進一步提高了演算法分類率。
  2. By utilizing self - diagnosis method and diagnosis method based on dt, it become more convenience for fault orientation. considering about fuzzy relation between fault cause and symptom, commix fuzzy diagnosis module was set up by means of fuzzy synthesize judge

    將診斷樹應用於電噴發動機故障診斷專家系統可以優化搜索過程，實現對故障起因的最佳搜索。採用模糊綜合評判的方法進行模糊推理，有效地解決了故障原因與徵兆之間不確定性問題。
  3. Abstract : the fuzzy control technology in fuzzy control roller washing machine is introduced. the water level, water stream, washing time, rinse times and dehydration time can be determined according to clothes weight, temperature and turbid. the automation of washing clothes is realized through the application of fuzzy control technology

    文摘:介紹了模糊控制全自動滾筒洗衣機的模糊控制技術：通過傳感器檢測被洗衣物的布量、洗滌液的渾濁度和溫度，利用模糊推理的方法自動確定水位高低、水流強度、洗滌時間、漂洗次數和脫水時間.模糊控制技術的應用實現了衣物洗滌過程的全自動化，具有一定的智能功能
  4. The gpss have one output and two inputs which are speed error and its derivative. selecting triangular function as fuzzy variable ' s membership function, mamdani max - min synthetic method as fuzzy inference method and centroid method as denazification method, fuzzy control rules are given according to the control expectation of governor and the experience of operating staff

    這種模糊gpss採用二輸入單輸出結構，以機組轉速誤差及其導數為輸入量，以三角形函數作為模糊量的隸屬函數，根據水電機組穩定控制要求和操作人員的經驗制定控制規則，以mamdani的max - min合成法和重心法分別作為模糊推理方法和清晰化方法。
  5. The reasoning machine modal and the method of realization, organizing the fuzzy knowledge base in external files and internal memory, organizing the fuzzy global database in external files and internal memory, realizing the fuzzy explanation facility are created

    提出了模糊推理機結構模型和實現方法、模糊知識庫的外部存儲組織方法和內存組織方法、模糊綜合數據庫的外部存儲組織方法和內存組織方法和模糊解釋器的結構模型和實現方法。
  6. Design of fuzzy inference machine in fault diagnosis expert system of electromechanical equipment

    機電設備故障診斷專家系統中模糊推理機的設計
  7. Fourthly, the design of fuzzy inference engine for satellite environment control in accordance to the fuzzy inference theory

    第四，根據模糊推理原理設計了衛星環境控制模糊推理機。
  8. This expert system is composed of fuzzy inference machine and management of fuzzy knowledge base. the fuzzy inference machine is based on forward data - driven reasoning and the fuzzy knowledge base is based on predicate presentation

    本專家系統由正向數據驅動型權值法的診斷型模糊推理機和對基於謂詞的模糊知識庫的管理維護組成的。
  9. Based on the system designing, this dissertation discusses how to use object - oriented method to analyze and design the fuzzy reasoning machine, the fuzzy global database, the fuzzy knowledge base, the human - computer interface and control center, and creates their class models

    本文從系統的設計出發，探討了用面向對象的方法分析和設計模糊推理機、模糊綜合數據庫、模糊知識庫、人機介面和控制中心的方法，提出了它們的類模型設計。
  10. In the constructing of the diagnosis module using the technology of the combination of the fuzzy logic and neural network, which based on the fuzzy adaptive learning control network, a simple kind of capable method for consummate the structure and performance of network is introduced, which includes the rules extraction based on the maximum weights matrix and the parameters amendment based on genetic algorithm by floating - point coding. during the monitoring of the parts condition, the output of the condition monitoring system shows the good working condition of the executing agency by fuzzily deducing from the control instruction send by the auv ' s controller and motion status, and so offers the proof to complete mission and return safely

    在珍斷模塊建模中採用模糊邏輯與神經網路結合的技術，以模糊自適應學習控制網路為核心，提出了一種簡單可行的基於最大權值矩陣的規則提取及基於浮點數編碼的遺傳演算法的參數調整的，完善網路結構與性能的方法，並在狀態監測過程中，通過對由控制器輸入的水下機器人運動控制量以及運行狀態的模糊推理，得到執行部件（推進器或舵）的工作狀態優劣程度，為保證水下機器人完成任務，安全返回提供控制依據。
  11. Self feed back model that adopt fuzzy deduce technology and fuzzy integrate judge mechanism is introduced in this article, it is the kernel function model of intelligent instruction system

    論文的自反饋模型採用以模糊數學為基礎的模糊推理技術和模糊綜合評判機制，是智能學習系統的核心功能模塊。
  12. With the help of dynamic qualitative information of working marine diesel power equipment in this field and expertise, a new long - distance oil monitoring expert system of marine diesel power equipment has been proposed and developed with the characteristic of expounding the dynamic features of marine diesel power equipment from the perspective of chaos knowledge, possessing intellectualized auxiliary decision - making mechanism based on fuzzy reasoning and neural network reasoning, utilizing mathematic analysis model established by means of track facility states of chaos vector and capable of evaluating the analysis results of oil monitoring facil ity ' s development of engine power and its working conditions accurately

    然後，結合廣泛搜集的本研究領域內船舶柴油機動力裝置在運行中的動態定性信息與專家經驗，研製開發了運用混沌學的觀點闡釋船舶動力裝置的動力特性，並擁有基於模糊推理與神經網路協作推理的智能化輔助決策機制，採取通過求取設備狀態混沌向量等方法建立的數學分析模型進行數據分析，能準確地評價船舶柴油機動力裝置油液監控設備狀態變化趨勢及其運轉狀況的遠程輪機油液監控診斷專家系統。本文研製開發的遠程輪機油液監控診斷專家系統在internet intrabet網路環境下，具有遠程智能專家診斷的特點。
  13. With matlab and its fuzzy logic toolbox, fuzzy inference system ( fis ) of hydro - generator unit fuzzy gpss is founded and so the fuzzy gpss is attained with the aid of computer

    利用matlab的模糊邏輯工具箱建立水電機組模糊gpss的模糊推理系統，實現了模糊gpss的計算機輔助設計。
  14. 9. a fuzzy reasoning controller is designed to improve the performance of the mentioned disturbance observer. as the motor speed and load torque varying, the parameter of the disturbance observer can be changed by the fuzzy controller based on experiences. the pulsating torque can be compensated more strictly in a extended range

    9 、對基於干擾觀測器的轉矩脈動控制系統進行了改進，設計了一種模糊推理控制器，根據電機速度和負載轉矩的變化調整干擾觀測器的增益，保證了轉矩脈動控制系統的控制精度，並擴大了其運行范圍。
  15. Thirdly, the object - oriented way of lre knowledge representation for causality, system structure, and models is presented, and an organization model of lre diagnosis knowledge for integration of deep and shallow knowledge based on the lre component structure and in the form of node knowledge base is given. and finally, the lre intelligent fault diagnosis theory and strategy, which utilize synthetically different kinds of diagnosis knowledge and multiple reasoning methods, such as rule - based, model - based, fuzzy - knowledge - based, and dynamic - knowledge - based reasoning methods, are discussed and developed. the results verified by the test - firing data and the simulated fault samples show that, the theory and methods proposed give a theoretical basis for the design and realization of practical lre fault diagnosis and health monitoring systems, and can be available for reference in the development of health monitori ng technique for reusable space transportation systems in the future

    主要研究內容包括：系統闡述了發動機診斷知識的概念、類別和相互關系；研究發展了定性和定量、淺層和深層、模糊和動態等多種診斷知識的圖形和模型獲取方式；建立了因果、結構和模型等不同層次和類別的診斷知識的面向對象表示方法，以及以發動機的部件結構為基礎，以結點知識庫為組織形式，深淺知識相結合的診斷知識集成組織模型；研究發展了綜合多層次和多類別診斷知識，集成規則推理、模型推理、模糊推理和動態知識推理的發動機智能故障診斷理論和策略，並結合實際熱試車數據和故障模擬實例對所發展的理論、方法與策略進行了驗證。
  16. The conclusion is obtained that in fuzzy logic systems there exists the completely similar reasoning mechanism to fuzzy reasoning

    由此得出模糊邏輯系統中存在著與模糊推理fmp規則完全相似的推理機制。
  17. Thirdly, by introducing fuzzy theory into system evaluation, evaluating student, teaching, course resource, and function of whole system. fourthly, making use of learning from examples based on information theory, machine learning algorithm is improved and machine learning decision tree is realized. finally, on reasoning mechanism, combining means of two classes reasoning is taken

    第三，在系統評價中引入了模糊理論，對學生、教學、課程資源以及系統的整體功能進行了評價；第四，採用基於信息論的示例學習，改進了決策樹學習演算法，並建立了機器學習決策樹；第五，在推理機制上，採取兩級推理相結合的方法進行推理，即用基於語義網路的模糊推理確定教學序列，用基於產生式規則的推理確定教學方法，並給出了詳細的推理演算法。
  18. Application of fuzzy inference in identification of helicopter model

    模糊推理在直升機模型辨識中的應用
  19. In this paper, mould cad technique is studied, artificial intelligence technique is introduced and expert system design method is used. with object - oriented technique, database technique, fuzzy theory and computer image technique, second development of autocad 2002 is carried on and a common injection molding runner system based on intelligent object and fuzzy reasoning is designed and implemented

    本文在研究注塑模cad技術的基礎上，通過引入人工智慧技術，採用專家系統的設計方法，綜合運用面向對象技術、數據庫技術、模糊理論和計算機圖形技術對autocad2002進行二次開發，設計實現一個基於智能對象和模糊推理的注塑模普通澆注系統。
  20. The simulation results indicate that the parallel robot control can achieve much better effect than the traditional method by means of fuzzy control only if the abundant control experience and correct inference rules are available. as the simulation result showing, the anfis achieves the same satisfying effect with successful fuzzy control without requiring any control experience. the anfis can adjust the parameters of fuzzy inference system automatically and eliminate the influence of interfere signal on the base of adequate training samples

    在缺乏實驗條件的情況下，通過對不同控制策略的模擬比較研究，說明了在具備系統的先驗知識和成熟的模糊規則的基礎上，對並聯機器人採取模糊控制能取得比採取傳統控制要好得多的效果，而anfis則能在毫無經驗的情況下，通過自動調整隸屬函數參數，自動建立符合系統變量特徵的控制模型和模糊推理規則，並能夠排除噪聲等干擾信號的影響，取得了與依賴專家知識進行控制一樣的效果，這也是模糊神經網路控制的優勢所在。
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