模糊系統映射 的英文怎麼說

中文拼音 [móhúxìtǒngyìngshè]
模糊系統映射 英文
fuzzy system mapping
  • 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
  • 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 ...
  • 映 : 動詞1. （因光線照射而顯出物體的形象） reflect; mirror; shine 2. （放映） project a movie
  • 射 : Ⅰ動詞1 （用推力或彈力送出） shoot; fire 2 （液體受到壓力迅速擠出） discharge in a jet 3 （放出） ...
  • 模糊 : 1 （不清楚） dim; vague; indistinct; obscure; fuzzy; blurred 2 （混淆） blur; obscure; confuse; m...
  • 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. Focused on the technique, interaction and result of visualization, the system for transitional state visualization is put forward, which effectively promotes the transfer, analysis and synthesis course of transitional information with better visualizability, figurativeness and maneuverability. the main work of this dissertation is as follows : the main characteristics of transitional state, such as fuzziness, randomness, fractal and chaos, are concluded. based on the combination of the fuzzy mathematics, stochastic process, fractal and chaotic theory, the feature description model of transitional state is put forward to make itself the foundation of following visualization methods and applications

    論文的主要工作包括：系統地提出了過渡狀態的特徵刻畫模型，概括了過渡狀態的模糊性、隨機性以及分形性與混沌性等主要特性，結合模糊數學理論、隨機過程理論以及分形理論與混沌理論等，以過渡率、過渡集合等作為特徵刻畫模型的主要內容，以過渡映射作為特徵刻畫的形成過程，有效地描述了過渡特徵的漸變過程，為可視化方法與應用的具體實現奠定了理論基礎。
  2. For this, the paper combines some thoughts such as role, agent, and service. it also proposes the developing framework of a role - based collaborative software with the object - oriented model technology and imitatively realizes the interacting and cooperating process of the members in developing activities. firstly, to overcome the difficulty of members ’ fuzzy realism to roles, this paper organizes supplying and requiring servvice set, bridges the reflecting relationship between roles and services and realizes the clear definition and dynamic transformation of roles through modifying service set and service - role registered table

    為此本文結合角色、 agent 、服務等思想，利用面向對象建模技術提出一種基於角色的協同軟體開發框架，主要工作有:首先針對成員在開發過程中對角色認識模糊的困難，本文為角色組織了供給和需求兩組服務，建立了角色與服務之間的映射關系，通過修改服務集和服務-角色登記表，實現了角色的清晰定義和動態修改，與傳統方法相比，清晰角色有利於成員明確自身所承擔的職責和擁有的權限;同時為簡易成員查找角色的復雜過程，提出一種靈活的角色查找方法，利用角色匹配矩陣和角色推薦演算法，匹配出符合成員要求的一組近似角色，降低了角色查找的難度。
  3. The kernel of the software consists of 4 clustering algorithms including pair - wise average linkage analysis, hierarchical clustering, self - organization feature mapping, and fuzzy clustering which is first applied in the field

    該軟體包含了兩兩平均連鎖聚類法、系統聚類法、自組織特徵映射法和模糊聚類等聚類演算法，其中模糊聚類演算法是首次用於基因表達模式分析。
  4. Firstly, it presents the storing arithmetic based on the mapping policy between xml data modal and object - oriented modal. reference to the arithmetic of extracting object - oriented database schemas from xml dtds using inheritance and other commercial tools for xml storing, it improves mapping policy from xml to object, which optimizes the new semantic classes, what ' s more, it present object clustering policy to resolve the uncertainty of xml schema and the complexity of information intergration, which simultaneously focuses on the semanteme and structure of new object classes. on the other hand, it presents method to realize exchanging from object to xml

    本文研究構造基於xml信息集成系統結構的面向對象數據庫包裝器，提出面向對象數據庫包裝器的系統結構；根據該結構提出xml的數據模式與面向對象數據庫對象數據模式的映射策略及相互存儲轉化演算法，一方面我們借鑒基於dtd模式的繼承對象映射提取演算法及各種商業工具，提出dtd簡化演算法和基於dtd簡化結構的對象圖映射演算法，優化了生成的對象類、提高了對象類的語義表達能力，也改進了對象映射提取策略；同時採用模糊聚類策略，提出對象聚類處理演算法，改善了xml語義定義的隨意性給對象類提取及信息集成帶來的復雜性；另一方面本文提出對象到xml的轉化演算法，採用系統自動定義對象到xml的轉化方法實現對象到xml的轉化處理。
  5. 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。
  6. Computational intelligence and its application in water conservancy and hydropower engineering ( ph. d. dissertation ) doctoral candidate : xu shigang supervisor : suo lisheng chen shoulun ( hohai university, nanjing, 210098 ) abstract computational intelligence ( ci ) which includes evolutionary computation ( ec ), neural networks ( nn ) and fuzzy system is a new subject developing rapidly

    計算智能包括進化計算、神經網路和模糊理論，是一門正在迅速發展的學科。本文對遺傳演算法、前饋神經網路、自組織特徵映射神經網路及雜合系統進行較為系統的研究，並將成果應用於水利水電工程中，形成了理論、方法與應用研究的完整體系，其主要內容如下： 1
  7. Aimed at strengths and weakness of mssse, the life - cycle of sa model, operational framework, sa partner selection model, sa organization choice model and are systematically designed. firstly, sa partner selection model utilizes a three - stage structure, resorts to relationship theory, fuzzy clustering, simple target evaluation and adaptive genetic algorithm and chooses ideal partners. secondly, sa organization choice model presents three kinds of basic organization pattern of msssesa and mapping relationship between sa type and organization pattern

    針對中小軟體企業的優勢與劣勢，設計了中小軟體企業戰略聯盟生命周期模型及基於模型的戰略聯盟運作框架，系統設計了聯盟夥伴選擇模型、聯盟組織選擇模型、績效評估模型：夥伴選擇模型：在明確中小軟體企業戰略聯盟目標分解原則與聯盟夥伴遴選準則的前提下，選用三階段法，運用關系理論、模糊聚類、單目標評價、自適應遺傳綜合優化來完成對理想聯盟夥伴的選擇；聯盟組織選擇模型：提出了適合中小軟體企業戰略聯盟的三種組織模式及與聯盟類型之間的映射關系；績效評估模型：運用模糊綜合評判的思想對聯盟績效進行模糊評估。
  8. At the support of the national natural science fund ( high technique, new concept, new design research ) ( 59685003 ) " study of the integrated performance modeling and optimal design method of the mechanical structure system ", the support plan of the ministry of education for the young excellent teacher ( 1766 ) " study of the mixed soft computation of the mechanical structure based satisficing criterion ", sichuan century excellent young subject leader fund " study of the theory and method of the intelligent optimization of mechanical structure ", and the open project fund of the mechanical transmission state key lab " fuzzy reliability analysis and satisfactory optimization study of mechanical transmission ", the author has the opportunity to touch this new subject and is attracted by it, then make an attempt at it

    在國家自然科學基金（高技術新概念新構思探索） （ 59685003 ） 「機械結構系統綜合性能映射建模及優化設計方法研究」 、教育部優秀青年教師資助計劃（ 1766 ） 「基於令人滿意準則的機械結構系統混合軟計算研究」 、四川省跨世紀傑出青年學科帶頭人培養基金「機械結構系統智能優化原理方法研究」和機械傳動國家重點實驗室開放課題基金「機械傳動模糊可靠性分析與滿意優化設計研究」的資助下，作者有幸接觸這個新的研究方向，被它的風采所吸引，也嘗試做了一些微薄的努力。
  9. The important research is about the theory and methods of the cluster analysis in view of statistical theory, the theory and methods of fuzzy cluster analysis, the fkn " s structure and the fkn ' s study algorithm ( fkn, fuzzy kohonen network ) - the organic fusion of the fuzzy c - means algorithm and self - organized feature map neural network. the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea, then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company. finally, the paper discusses the applying of the cluster analysis to the control process, which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing, and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory, through which good effect is obtained

    數據挖掘技術在商業領域中已廣泛使用，然而在工業過程式控制制中的應用卻極少，本文正是在這種背景下，對數據挖掘中的聚類分析方法及其在工業過程式控制制中的應用研究作了償試，重點研究了基於統計理論的聚類分析理論和方法，模糊聚類分析理論和方法及模糊kohonen網路（ fkn ）的結構與學習演算法，即模糊c ? ?均值演算法與自組織特徵映射神經網路（ kohonen網路）的有機融合，並根據硬分類思想及軟分類思想提出了改進的模糊kohonen網路（ ifkn ） ，通過matlab編程對人工合成控制時序圖數據集進行聚類分析，其聚類效果與當今廣泛使用的數掘挖掘軟體平臺，德國mit公司著名的dataengine智能數據分析和數掘挖掘軟體的聚類效果相當，最後，論述了聚類分析在控制中的應用，它可以用於過程式控制制中的參數變化趨勢的模式識別及圖象分割處理等具體應用中，並以貴州鋁廠熟料燒結回轉窯自動控制系統為工程背景，利用ifkn識別其熱工參量變化趨勢，取得了較理想的效果。
  10. It adopted a bp neural network with a lag factor to identify the counter static model of process and decided parameters of feed - forward control through a model image, adopted a feedback controller that can adjust fuzzy logic according to the changes of object ' s parameters to improve dynamic control effect and adopted a control strategy simulating human intelligence to harmony works of system by switching among each control combination

    它採用加滯后因子的bp神經網路辨識對象的靜態逆模型，並通過模型映射直接決定前饋控制的參數；用可隨對象參數變化調整模糊邏輯的閉環控制器配合前饋控制器以改善動態控制效果；用仿人智能控制策略協調系統的操作，在各種組合控制方式之間進行切換。
  11. The paper analyzes binary - split gradient & threshold initial codebook generation - algorithms, codebook generation algorithms based on kohonen self - organizing feature map neural network, a fast codeword searching algorithm using l2 - norm pyramid data structure, side - match vector quantization algorithms, and a fuzzy classified vector quantization algorithm, systematicly explores their application to image compression, computer simulation results show that they are practical and efficient

    文中重點分析了二元分裂梯度與閾值初始碼書生成演算法、基於kohonen自組織特徵映射神經網路的碼書生成演算法、基於l2范數金字塔數據結構的快速碼字搜索演算法、邊緣匹配矢量量化演算法、模糊分類矢量量化演算法，系統地研究了它們在圖像壓縮編碼中的應用，並進行了計算機模擬，實驗結果表明這些演算法是實際有效的。
  12. The indexing set for the assessment was established according to the relationship between the log files and human psychological security feature. also, an assessment method based on fuzzy ahp ( analytic hierarchy process ) was presented in consideration of the uncertainty and fuzzy quality of the human risk degrees measurement

    通過研究系統數據文件與人員心理安全特性的映射關系，提取測評人員風險度的指標體系結構，而後基於模糊層次分析方法提出了一種新的信息系統人員風險度測評方法，並實例驗證了方法的有效性。
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