模糊推論機 的英文怎麼說
中文拼音 [móhútuīlúnjī]
模糊推論機
英文
fuzzification interface- 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...
- 論 : 論名詞(記錄孔子及其門徒的言行的「論語」) the analects of confucius
- 機 : machineengine
- 模糊 : 1 (不清楚) dim; vague; indistinct; obscure; fuzzy; blurred 2 (混淆) blur; obscure; confuse; m...
- 推論 : ratiocination; sequitur; inference; triangulation; extrapolation; deduction; corollary
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According to the different sample set, we have been on discussion, using lagrangian multiplier technique or lmt in the optimal theory, slt and function analysis , then we get the decision function and svm with the corresponding different sample set. thirdly, for improving generalization ability, application ability and recognition speed of svm, we have used fuzzy set theory ( fst ) and rough set theory to study svm deep, and integrated them into svm, constructed fssvm ( fuzzy set svm ) and svm based on rough set theory, and extended performances of svm in the chapter 4, 5
再次,為了進一步提高支持向量機的通用性以及推廣能力、應用能力、識別速度等性能,在第四、第五兩章運用模糊集理論( fst )和粗糙集理論( rst )對支持向量機進行研究,採用優勢互補原則,先是把模糊集與支持向量機有機結合,構造出基於模糊集的支持向量機( fssvm ) ,然後把粗糙集理論與支持向量機相互結合,進而把rst與fssvm相互結合,構造出基於rst的支持向量機。Secondly, this part provides the theory of risk unconservation and demonstrates it strictly. thirdly, this part throws light on the risk unconservation in venture capital investment with hypercyclic theory, and provides the paradox of risk unconservation when hypercyclic is not valid. at last, this part sets up a multi - layer fuzzy decision model and discusses the risk and revenue of different people with different risk preferences
探討了聯合投資收益與風險分攤的機理;提出了聯合投資的風險不守恆定理,並進行了嚴格的數學推導證明;運用超循環理論對聯合投資風險不守恆進行了闡述,並提出了超循環無效時的風險不守恆悖論;然後建立了投資組合的多層模糊決策模型,對不同的風險喜好者的風險和收益進行了探討。The pseudo - random fsk / psk multi - modulation signal and the partly - matched processing signal remain the information of the target of interest. compared with the other processing methods, the partly - matched procession could depict the target ' s information effectively, and could get a higher output snr under a noisy environment. in this dissertation, the deduction and the simulink on the computer of the average ambiguity function of the pseudo - random fsk / psk multi - modulation signal are presented. also, to the partly - matched procession, analysis in theory and simulink on computer are presented. the partly - matched procession applied in radar field is also discussed
較其它處理方法,非完全匹配處理能有效的突出所觀測目標的信息,以及在加噪情況下,其具有高的輸出信噪比。在論文中,對偽隨機fsk / psk復合調制信號的模糊特性進行了推導與模擬,對非完全匹配處理方法進行了理論上的分析以及計算機上的模擬驗證,討論了其在雷達中的應用。From the technique of database realizing, discuss the structure of fuzzy diagnosis expert system, knowledge base, inference engine and the database realizing. what ' s more, discuss the system structure of distributed fuzzy diagnosis expert system, the decomposition strategy of diagnosis assignment in and the distributed fuzzy diagnosis expert harmonizing and control of multi - level blackboard model, realize the distributed fuzzy expert diagnosis by database
從數據庫實現技術的角度出發,論述了模糊診斷專家系統的系統結構、知識庫結構、推理機制以及系統的數據庫實現,從而進一步闡述分散式模糊診斷專家系統的系統框架、分散式系統的診斷任務的分解策略以及多級黑板結構的分散式模糊診斷專家的協調與控制,實現利用數據庫技術的分散式模糊專家診斷。The system emphasized on attempting to applying fuzzy in the automatic - controlling technology of greenhouse environmental parameters. fuzzy controll is based on the theory of fuzzy mathematics, fuzzy language, fuzzy logical, and adopt digital controlling from which use of computer technology and has feedback and structure
本系統研究的重點是模糊控制演算法在溫室環境參數自動控制系統中的嘗試應用。模糊控制是以模糊數學、模糊語言形式的知識表示和模糊邏輯的規則推理為理論基礎,採用計算機技術構成的具有反饋閉環結構的數學控制形式。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。Fuzzy control is a kind of computer numerical control based on fuzzy set theory, fuzzy linguistic - variable and fuzzy logical reasoning, in which the experience of skilled operators and the knowledge of experts are summed up into the control rules in the form of " if. . then. . ",
模糊自動控制是以模糊集合論、模糊語言變量及模糊邏輯推理為基礎的計算機數字控制。它將操作人員的控制經驗和專家知識總結成一系列「如果…則… 」形式的控制規則,即模糊條件語句;然後經過模糊邏輯推理而得到控製作用。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。Performance - oriented controller synthesis is also discussed and muti - objective controller can be designed based on it. lmi design methods for robust controller, h controller and robust h, controller of the stochastic t - s systems with unmodeling uncertainties are introduced. finally, various controllers developed in this dissertation are applied to lorenz chaos system with random perturbations, and compared with traditional controllers
本文第二部分研彝雄舞具有隨機參數擾動的模糊系統穩定性分析和控制堿,將t , s _瞬娜事鉀控制理論的現有成果推廣至隨機t - s咖系終主要成果有二黃申了拿葬摧The confirmation theory which is one of the uncertain inferring model has been adopted to construct the inference engine, for the special knowledge in the field is uncertain and fuzzy. at the same time the knowledge on fuzzy set theory and fuzzy logic has been applied to calculate the final value about certainty factor value ( cfv ) of a rule through inputting several initial values
根據專門知識的不確定性和模糊性,運用非精確推理模型中的確定性理論,組織實現系統的推理機,在對規則可信度進行不確定性處理時,引入模糊集合論和模糊邏輯的有關知識,處理多個初始可信度的輸入,由此得出最終比較可靠的規則可信度。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。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。In this dissertation, put forward a practical modal to forecast the probability of human error and analyze the effect of reliability as a result of human error based on the analysis of cause and effect of human error during construction ; put forward the model of considering the effect of human error and the practically method of calculate fuzzy - random reliability considering the effect of human error ; popularize the theory of traditional random reliability to the theory of fuzzy - random reliability, and discuss the theory of reliability of the whole - course in structural life ; put forward the countermeasure to reduce human error according to the fact
本文通過對施工過程中人為錯誤的因果分析,建立了比較實用的人誤概率預測模型,分析了施工過程中人為錯誤對結構可靠度的影響;提出了考慮人為錯誤影響的結構模糊隨機可靠度的模型和實用的計算方法,將傳統的隨機可靠度理論推廣到模糊隨機可靠度理論;還探討了結構生命全過程可靠度理論,並結合實際情況提出了減少人為錯誤的對策。The paper want to solve one of the problem, using how to supply the pubic houses as the core part, and mainly analyzing its good and bad of the supply model of public houses. analyse the government heavily constructing housing, using private houses, government buiing houses, reassure government houses as pubilic housing, using the vacant houses as public houses and so on, analyzing these supply model ' s influence on real estate market, government " s financial pressure, and the management of the public houses, and at last use the nsfdss ( non - structure fuzz decsion surport system ) apprasial method apprise these suppling model. connecting the facts of xi ' an, analyse the fitfull of the result
本文主要以廉租房保障制度實施中存在的問題之一? ?廉租房房源提供方式的優劣勢比較分析為核心內容,對廉租房的供房模式:政府集中興建、利用私房、政府出資購房、公房認定、利用空置房轉化等模式進行優劣勢比較分析,分析這些供房模式各自在推動房地產市場、減輕政府財政壓力、廉租戶管理、廉租房推出機制形成等方面的優劣勢,並利用nsfdss (非結構化模糊決策支持系統)評價方法綜合評價排序各供房模式,並結合實際情況對西安市實施廉租房制度時採取的供房模式進行適應性分析,為決策者決策選擇的理論指導依據,促進廉租房的發展。Based on predecessors " studies on steam turbine generator - set ' s state monitoring and fault diagnose, this paper focuses on the models and methods used to judge the multiple faults. these models and models, which are based on fuzzy sets theory, probability causal model, artificial neural network technology and genetic algorithms, are tested by some existing examples and some useful conclusions are drawn. all above will put the theory of multiple fault diagnosis of a large turbine generator set a further step
本文在總結和借鑒前人關于汽輪發電機組狀態監測和故障診斷的基礎上,重點研究基於模糊集理論、概率因果模型、人工神經網路技術以及遺傳演算法的多故障診斷理論和方法,並用已有的汽輪發電機組振動故障事例進行了驗證,得出了一些具有實用價值的結論,進一步豐富和推進了大型汽輪發電機組振動多故障診斷的理論,並提出了一些可靠的、實用的新方法。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。Convergences of the sequence of fuzzy random variables are discussed, and then some theorems on m. s. fuzzy stochastic analysis and stationary fuzzy stochastic processes are proved
本文第一部分研究模糊隨機系統的建模與分析的若干問題,推廣了隨機系統理論的一些結果。This article states the basic principle of efc in detail, and mentions success a successful sample in the field of control, an inverted pendulum which is analyzed systemically. besides, the theory of efc solves the problem of verticality and back to the center of the inverted pendulum. on this foundation, expert fuzzy reasoning controller is realized by the c language, so as to use cross assemble technique to form machine codes, and solidify the program in the single board computer to realize control
詳細地闡述了專家模糊控制的基本原理,引用控制界中成功的實例倒立擺進行系統分析,並採用專家模糊控制這一理論解決倒立擺的垂直問題和回到中心問題.在此基礎上用高級c語言來進行專家模糊推理器的實現,以便於用交叉匯編技術形成機器代碼,把程序固化在單片機上實現控制It is not trivial generalization for the usual theory of the stochastic optimal control to study the stochastic optimal control problems. the above problems motivated the author to : ( 1 ) conquer the lack of the indirect computing methods for the uncertain linear programming to seek the direct computing method ; ( 2 ) conquer the singularity of stochastic or fuzzy factor in the usual uncertain programming models to give the hybrid programming models which contains stochastic and fuzzy parameters ; ( 3 ) further strengthen the applications of bsde in the stochastic optimal control to extend the related theories of the usual stochastic optimal control, and to enlarge the applied field
以上問題和想法促使作者進行以下研究: ( 1 )克服不確定線性規劃的計算需要轉化成等價的確定性(或清晰)數學規劃進行計算的不足,尋求直接計算的方法; ( 2 )克服傳統不確定規劃模型中不確定因素的單一性,提出隨機和模糊混合的不確定規劃模型; ( 3 )進一步強化倒向隨機微分方程在隨機不確定系統最優控制問題中的應用,實質性地推廣傳統的隨機最優控制相關理論,擴大隨機最優控制的應用領域,特別是在金融工作中的廣泛應用。On the basis of fuzzy diagram theory, the information - processing model of ip is also proposed. the task - allocation and reference model of mips ( multi intelligent pro - node system ) based on knowledge cooperation are proposed in detail. based on standard on smart networked transducers ieee 1451, neuron - chip, lonworks technology, the structure model and prototype of ip are designed
在給出智能前端的定義及技術特徵后,建立了基於智能前端的現場信息處理模型;在引入智能單元概念后,提出了智能前端的功能實現模式;基於模糊圖論的相關理淪,研究並建立了智能前端的信息處理模型;建立了基於協同求解機制的多智能前端節點系統mips的推理和任務分配模型;基於網路化智能傳感器執行器的設計及介面標準ieee1451 、神經元晶元和lonwoks技術,設計了智能前端的結構模型和裝置原型。分享友人