非結構化問題 的英文怎麼說

中文拼音 [fēijiēgòuhuàwèntí]
非結構化問題 英文
unstructured problem
  • 非 : Ⅰ名詞1 （錯誤） mistake; wrong; errors 2 （指非洲） short for africa 3 （姓氏） a surname Ⅱ動詞1 ...
  • 結 : 結動詞（長出果實或種子） bear （fruit）; form （seed）
  • 構 : Ⅰ動詞1 （構造; 組合） construct; form; compose 2 （結成） fabricate; make up 3 （建造; 架屋） bui...
  • 問 : Ⅰ動詞1 （請人解答） ask; inquire 2 （詢問; 慰問） question; ask about [after]; inquire about [aft...
  • 題 : Ⅰ名詞1. （題目） subject; title; topic; problem 2. （姓氏） a surname Ⅱ動詞（寫上） inscribe; write
  • 結構 : 1 （各組成部分的搭配形式） structure; composition; construction; formation; constitution; fabric;...
  • 問題 : 1 （需回答的題目） question; problem 2 （需研究解決的矛盾等） problem; matter 3 （事故或意外） tr...
  1. We can divide web data into two kinds : structural data and unstructured data. we have maturer methords to deal with structural data. however, because traditional database bottom can not deal with unstructured data, a wey that deal with unstructured data need be presented

    對于結構化的web數據，已經有較為成熟的解決方法；而對于非結構化的web數據，由於傳統數據庫的底層問題，不能用來處理非結構化數據，迫切希望能提出一種方法進行非結構化數據的處理。
  2. At the same time, combined with the current situation and development trend of computer, communication and information management, the author advanced the basic frames and functions for designing the office automation. in this research, we advanced an office automaton project based on lotus domino / notes and realized the main parts : constructed the collaboration flat based on lotus domino, developed the data interface by which nonstructural notes database can access structural relative database, based on this, intergrated the organization workflow, information management and the other operation systems into one flat, then multilayerly disposed and used the information very expediently, laid the groundwork for communicating the information circulatio n inside and outside the organization and realizing the non - paper work.

    在本課題的研究中，提出了一種基於lotusdomino notes平臺的辦公自動化方案，並實現了該方案中主要部分：搭建了基於lotusdomino的協作平臺，開發了非結構化的notes數據庫訪問結構化的關系數據庫的數據庫數據訪問介面，以此為基礎，將組織中的工作流、信息處理以及其它業務系統都集成到一個協作平臺上，從而較便捷地對信息進行多層面的處理與使用，為溝通組織內、外信息的流通，實現無紙辦公奠定了基礎。
  3. So, decision of nuclear plant emergency is not only an academic topic, but also a serious issue concerned by all country government. the decision of nuclear accident emergency ( dnae ) is a shortest - optimal choice from many countermeasures for protecting benefits of people against disadvantage at least, when a serious accident of nuclear plant have done

    核電站應急決策除具有事件發生、氣象和環境變化的隨機不確定性等特點之外，還涉及政治敏感性，經濟代價、社會公眾反應、生態環境污染等諸多因素，是一個典型的風險型、非結構化、多屬性的系統決策問題。
  4. In batch micro operations, three problems must be solved to implement automatic operations narrow field of micro vision, unstructured distribution of targets and operation time limit

    在批量微操作中，顯微視野的狹小、目標的非結構化分佈和操作時間的限制是自動化操作必須解決的問題。
  5. The process of desulfuration not only involves in not only standardized programs, but also includes uncertainty factors with further implementation of desulfuration. moreover, decision support system mainly solves semi - structured and unstructured problems, so we urgently need make use of modern computer - aided tools and communication means to support evaluation work on desulfuration. it is necessary to establish a corresponding decision support system

    脫硫過程既涉及一些標準化程序化的過程，又隨著脫硫的進一步實施包含很多不確定因素而決策支持系統主要用於解決半結構化和非結構化問題，因此迫切需要利用現代化的計算機輔助工具和通訊手段來支持脫硫評價工作，有必要建立相應的決策支持系統。
  6. Dss can resolve unstructure questions and self - structure questions by supplying background materials, making sure of questions and models, and comparing potential resolution ways. it will be very useful to integrate gis and dss to analyze water resource. the author wants to integrate gis and dss in the developing and designing of liaoning province ' s surface water geography information system

    Dss以信息技術為手段，應用決策科學及有關學科的理論和方法針對某一類型的半結構化和非結構化的決策問題，通過提供背景材料、協助明確問題、修改完善模型、列舉可能方案、進行分析比較等方式，為管理者做出正確決策提供幫助的人機交互的信息系統。
  7. Having its own prominent characteristics, spatial decision supporting technique can deal with many decision problems of semi - structurization and even non - structurization and treat with problems systemically and intelligentizedly and offer rewarding decision through automatic judgment, analysis, and induction of spatial massage, spatial relationship and spatial distribution law, making use of mature model and knowledge bases

    空間決策支持技術有著自己顯著的特點，能夠處理很多半結構化甚至非結構化的決策問題。能夠在通過對空間信息、空間關系、空間分佈規律的自動分析、歸納和判斷，利用成熟的模型庫、知識庫系統智能化地處理問題，給出有價值的決策結果。
  8. Many scientists present web matedata in order to slove the problem. web metadata can transform unstructured data into structural data

    為了解決這個問題，很多研究者提出了為web數據建立元數據，可將非結構化數據變成結構化或半結構化數據。
  9. 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。
  10. The appearance of dss in the age of 1970 pushes the decision - making theories into a new developing peak and becomes a new computer - based information systems management tool in the field of systems engineering, management science and ai, which is always used to tackle semi - structural and non - structural information systems decision - making problem

    70年代決策支持系統概念的提出將決策理論推向了一個新的發展高潮，已經成為用於管理的一種新型計算機信息系統並已發展成為系統工程、管理科學以及人工智慧等領域十分活躍的研究課題，常用於解決半結構化和非結構化的復雜信息系統決策問題。
  11. This paper explains the theory of analytical hierarchy process and applies it to the selection of loan customers through concrete cases, trying to provide a new way for the bankers in solving such complex decision - making problems

    本文通過具體案例將層次分析法應用到銀行貸款客戶選擇中，試圖為銀行家們解決客戶選擇這一難以定量描述、非結構化的復雜決策問題，提供一種新的思路。
  12. Aim at special application, this article brings out some data models based on nonstructured engineering data model and use the theory in engineering data model research area for reference, combines the data modeling technology with the object oriented technology, uses the object oriented technology to abstract objects for the application system and abstract the application frame, converts the polymorphism character of the object oriented frame to the complex data storage character, realizes the permanent management of object method hi the object oriented system, and then from the position of data independence, separates the method independent management from the object frame and achieves the polymorphism and extensibility of the object oriented system, fulfills the enterprise application who need customize the software function

    本文在非結構化工程數據模型的基礎上，吸取非結構化工程數據模型的研究成果，提出針對專門應用的復雜數據模型，並將數據庫建模技術與面向對象技術相結合，按照面向對象的方法對工程應用進行分析建模，抽取出系統的對象框架結構，將面向對象系統的實現方法作為復雜數據模型處理，實現對象方法的持久化管理，從而在數據獨立性的角度將對象方法從對象框架分離出來單獨管理，在更高的層次上實現了面向對象系統的多態性和可擴展性，滿足了企業復雜應用中對軟體系統進行柔性定製的要求。課題研究的問題為面向對象系統中對象方法的持久化存儲與管理。
  13. We also place emphasis on research of apriori and fp - growth algorithm and compare the performance of two algorithms. secondly, we do research on concepts of structured and nonstructured data, actual state and problems of tree structure mining, and freetreeminer algorithm theory. we also study canonical form and pre - processing technologies of free - tree, concepts and properties of closed and maximal tree, and pruning, growing and mining of tree structure

    其次，研究了結構化與非結構化數據的基本概念、樹結構挖掘的研究現狀、現有樹結構挖掘技術存在的問題、 freetreeminer演算法及其基本思想，重點研究了free樹的規范化和預處理技術、封閉頻繁子樹和最大頻繁子樹的概念和性質、樹結構的剪枝和生長技術、樹結構的挖掘技術。
  14. The solution can choose the fittest learning objects for different learners to fulfill their demands, and it can navigate intelligently for the learners. firstly, the thesis introduces the development of e - learning, and analyses the problem of the resources heterogeneity and user needs personalization in e - leaning ; secondly, it introduces the technology and application of ontology and owl which is recommended by w3c latest, and brings up an elementary obtm ( ontology - based teaching model ) to support personal application. it also presents a mechanism of semantic expressing of heterogeneous teaching resources in order to establishe the foundation for the realization of semantic access and personal application to the unstructured teaching information ; next, based on obtm, the thesis creates pedagogical rules and semantic rules

    本文首先介紹了e - learning的發展現狀，並對e - learning中遇到的資源異構和用戶個性化需求的問題進行了分析;然後，對ontology與w3c最新推薦的owl本體描述語言的特點及應用分別進行了介紹，初步設計了支持個性化應用和描述的教學本體模型obtm （ ontology - basedteachingmodel ） ，給出了一種面向語義的非結構化教學資源的表示機制，為實現非結構化教學信息的語義訪問和個性化應用奠定了基礎;在obtm模型的基礎上，本文結合jena推理機制，制定了「個性化」的教學策略規則和語義策略規則，使系統可以利用本體推理技術實行教學內容和教學策略自適應控制。
  15. Peer - to - peer network that based on distributed hashing table is proposed, which not only could locate the resources well, but also solves the extensible problem of the structureless p2p network

    基於分散式哈希表（ dht ）的p2p網路的提出，不僅能較好地定位資源而且很好地解決了非結構化p2p網路的可擴展性問題。
  16. Decision support system ( dss ) is a human - machine interactive information system, which apply the decision science theory and method to settle the consequential or half - consequential decision problem. it can help the manager to do the correct decision through providing the background material, helping to definitude the issue, amending the model, and so on

    決策支持系統是以信息技術為手段，應用決策科學及有關學科的理論和方法，針對某一類型的半結構化和非結構化的決策問題，通過提供背景材料、協助明確問題、修改完善模型、進行分析比較等方式，為管理者作出正確決策提供幫助的人機交互信息系統。
  17. Decision support system, presented in early 1980 ' s, is a technique for solving problem that is structural or non - structural mathematically. in this thesis, the advances in decision support system have been reviewed

    上個世紀80年代初期迅速發展起來的決策支持系統（ dss ）是為解決半結構化和非結構化問題而提出的一種理論。
  18. It utilizes the learning advantages of case - based reasoning and the high efficiency of tabu - genetic algorithm to solve the problem of the knowledge - acquiring difficulty and the low retrieval efficiency while enhance the solving ability of the semi - structure and unstructure problems in decision support system

    利用案例推理技術的學習優勢，結合遺傳演算法與禁忌演算法高效的搜索機制，可望部分解決現存決策支持系統知識獲取困難和檢索效率低下的問題，提高其解決半結構化和非結構化問題的能力。
  19. Owing to default existing in research of theory and method of group reasoning, integrating of qualitative method and quantitative one and structuring of decision making problems, gdss is unlikely to solve the semi - structure or non - structure problems perfectly. there lacks sufficiently successful experience in developing and applying gdss in china, gdss based on internet particularly

    由於gdss在群體推理、定性定量結合及決策問題結構化等理論與方法的研究方面存在缺陷，目前的gdss不能很好地解決定性的半結構化和非結構化問題；我國在開發應用gdss特別是internet環境下的gdss方面還缺乏成功的經驗。
  20. Group decision support system ( gdss ) is a computer - based interactive system, it use communication, computer and decision technology to support group defining and solving non - structured decision problem

    群決策支持系統（ gdss ）是一個基於計算機的互動式系統，利用通訊、計算機和決策技術支持群體成員對非結構化決策問題進行定義和求解。
分享友人
分享到 Line

分享到臉書