intelligent knowledge-based system 中文意思是什麼

intelligent knowledge-based system 解釋
【計算機】智能知識庫系統〈參見IKBS條〉。

  • intelligent : adj. 1. 理解力強的，有才智的，聰明的，明智的。2. （電腦等）智能型的。3. （大樓或辦公室等）由中央電腦系統控制其設施的。adv. -ly
  • knowledge : n. 1. 知識；學識，學問。2. 了解，理解；消息。3. 認識。4. 〈古語〉學科。5. 〈古語〉性關系。
  • based : 基準
  • system : n 1 體系，系統；分類法；組織；設備，裝置。2 方式；方法；作業方法。3 制度；主義。4 次序，規律。5 ...
  1. A multiagent - based implementation is also given in the dissertation. the system offer so a extendible, adaptive, intelligent environment for security information and knowledge handling

    論文最後給出了一個基於多代理實現的系統，該系統具有很好的系統集成能力、動態適應能力和知識更新能力，為安全管理員提供一個信息決策支持與安全控制管理的環境平臺。
  2. Aiming at overcoming such deficiency, this article gives pilot study and discussion on how to realize " distance intelligent instruction system based on web ". through collecting the learning action learning fashion ^ knowledge comprehension information, learning time, test result and many other factors dynamically and putting these factors analyzed by self feed back system, then, after deducing, we can get learning ability, learning character, learning effect and some other results quickly, these results are sources to form learning content dynamically in order to meet the requirements of individual education

    針對以上不足，本論文對如何實現「基於web的遠程智能學習系統」進行了初步研究、探討，通過動態收集學生的學習動作、學習方式、知識理解情況、學習時間、考試情況等諸多因素，經過自反饋系統的分析、推理，快速獲得學習者的學習能力、學習特徵、學習效果等反饋結果，為滿足個性化學習、動態形成最適合該學生的學習內容提供依據。
  3. The former part, with the analysis and research of the meaning and the extension and the characters of industrial design, demonstrates the possibility and inevitability of applying computer and internet to aid industrial design and illustrates the state - of - the - art and usual technology. by analyzing the new development and new requests of caid ( computer - aided industrial design ) technology, the article raises the possibility and inevitability of developing internet - based icaid ( intelligent caid ) system, presuming the models and methods and illustrating the key technology of building iicaid, which includes extracting the knowledge of design and the knowledge of user and building the correlative model and studying and developing internet - based cooperative work of form design and the design and realization of software and hardware of iicaid system. finally with analyzing and summing up the correlative knowledge of design and the knowledge of user in nc machine tools form des ign and concluding and researching the results of the correlative experiments, the article raises and explains the researching points and key technology

    論文分為上下篇，上篇通過對工業設計內涵、外延的分析和研究，提出了運用計算機、網際網路等智能機器、信息技術輔助工業設計的可能性和必然性以及目前的發展狀況和一般技術；分析了目前caid技術的新發展和新要求，提出了發展基於網路的智能化caid系統的可能性與必然性，並大膽推測了實現的方法和模型；歸納建立iicaid系統所需的關鍵技術，即工業設計的領域知識和用戶知識的提取及建立模型；網路協同造型設計的規劃、集成和優化；系統的軟硬體設計和完成；最後，通過對數控機床造型設計相關領域知識的分析和整理，以及相關的實驗的總結和研究，提出和解釋了在數控機床造型設計中運用iicaid技術的研究重點和關鍵技術。
  4. The key technology of mpidss includes the distributed supported technology, the process control of cooperative working and the real - time control of the decision process, etc. based on the technologies of decision support system ( dss ), group decision support system ( gdss ) and distributed decision support system ( ddss ), with the theory of system engineering and artificial intelligence such as knowledge engineering, agent, etc, having the background of the items supported by the national 10th five - year plan foundation - the research on the technology of military programming intelligent decision support system, this paper focus its work on researching on the algorithm of mission decomposing and mission distributing, distributed support technology, real - time process control method and project evaluating technology, etc. further more, the architectural model of process control based on multi - agent alliance is put forward and the prototype system of mpidss is implemented

    這類決策問題與傳統的企業決策的不同點在於決策群體龐大、決策任務多且任務屬性各異、決策任務的求解具有實時性要求等。決策過程中的關鍵技術包括分散式支持技術、決策任務求解的過程式控制制技術以及實時任務的求解控制策略等。論文在繼承傳統的個體決策支持系統（ dss ） 、群體決策支持系統（ gdss ）和分散式決策支持系統（ ddss ）技術的基礎上，結合系統工程思想以及人工智慧中的知識工程、 agent等前沿技術，以總裝備部十五預研課題? ? 「群體決策支持平臺」為課題背景，深入研究了分散式多任務群體決策過程中的任務分解與分配演算法、任務協作策略、分散式支持技術、實時控制技術，決策方案評價技術等，提出了用於過程式控制制的多agent聯盟體系結構模型，設計和實現了面向軍事作戰規劃的智能決策支持原型系統。
  5. A knowledge - based system for intelligent stamping process planning

    的智能沖壓工藝設計與應用
  6. This research focused on applying the system analysis principle and mathematical modeling technique to study knowledge expression system for crop cultivation management. based on extensively collecting, understanding, analysis, and integration of expert ' s knowledge and experience, literature and experiment data for cotton cultivation management, the dynamic relationships of cotton growth and management indices to variety types, ecological environments and production levels were quantified, and a dynamic knowledge model for cotton management ( cottonknow ) was developed. by further incorporating the rule - based knowledge system for cotton management, a comprehensive and intelligent knowledge model - based decision support system for cotton management ( kmdsscm ) was established with component design

    本研究著重利用系統分析原理和數學建模技術來研究作物栽培管理的知識表達體系，在廣泛收集及充分理解和分析棉花栽培管理專家知識、經驗和資料的基礎上，利用棉花栽培理論與技術方面的現有研究成果，並結合必要的試驗支持，解析、提煉和綜合棉花生育及管理指標與品種類型、生態環境及生產水平之間的定量化關系，首次構建了棉花栽培管理動態知識模型，並進一步結合基於知識規則的棉花栽培管理知識庫表達系統，設計和實現了綜合性、智能化和構件化的基於知識模型的棉花管理決策支持系統（ kmdsscm ） 。
  7. Main contents of this paper are summarized as following : ( 1 ) on the basis of deeply researching the processes and characteristics of product variant design, this paper puts forward the product model and the intelligent reasoning model for variant design ; they are the hierarchical model for product variant design and hybrid reasoning model that cbr is the core. the frame of knowledge - based variant design is puts forward. the system includes four sub - systems : the product recourse base subsystem, the product recourse managing subsystem, the variant design subsystem, and the design evaluation subsystem

    具體研究內容如下： （ 1 ）深入研究了產品變型設計過程和特點，提出了面向變型設計的產品模型和智能推理模型，它們分別是產品變型設計層次化模型、以cbr為核心的混合推理模型；建立了基於知識的產品變型設計系統框架，該系統包括四個子系統：產品資源庫子系統、產品資源管理子系統、變型設計子系統和設計檢驗子系統。
  8. So we propose intelligent enterprise diagnosis system integrated with enterprise information systems to meet with actual requirements of enterprise management. a model of intelligent enterprise diagnosis system based data warehouse is established, and fuzzy petri net is used to realize knowledge representation and fuzzy reasoning of enterprise diagnosis

    因此我們根據企業管理的實際需求，提出與企業信息系統相集成的智能企業診斷系統，建立了基於數據倉庫的智能企業診斷系統模型，並提出以模糊petri網實現企業診斷的知識表示和模糊推理。
  9. Based on rough sets, we develope a knowledge discovery system as a part of idss used in a platform developed for electronic government affairs, which has been appraised by the science and techology bureau of hefei and put into use to boost intelligent elec government and has satisfactory performance. and the development of the knowledg discovery system is also a part of the project from the national natural science foundation ( 60273043 )

    開發了基於粗糙集的智能決策系統中的知識發現子系統，此系統應用於已經通過合肥市科學技術局的鑒定並推廣使用的電子政務信息交換平臺中，取得了滿意的效果，促進了電子政務智能化進程，並且開發的知識發現系統也是作為國家自然科學基金項目的0273043 ）一智能軟體體系結構和組件技術的研究的一部分。
  10. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  11. 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。
  12. An intelligent dispatcher training system for restoration of power system is studied in this paper. an object - oriented knowledge - representation method of power network topology for system restoration is proposed, which can be used effectively for system restoration ; a method for detecting the network islands after faults is used, which is based on the breadth - first searching technic

    提出了一種面向對象的用於事故處理的電網結構知識表示方法；將面向對象的可視化技術應用於本系統，成功地開發了電力系統制圖模塊，在此基礎上開發了電網數據管理系統，實現了對電網圖形的編輯和數據的管理。
  13. In order to solve the problem how to get expert knowledge and how to detect fault, a new settlement is presented in this paper, which is based on simulation. in the beginning of this paper, the writer introduces some conception of conventional expert systems, and analyzes its localization or disadvantage. according to the special of electronic devices, artificial intelligent fault detecting system of a certain radar based on simulation is put forward ; the paper gives the detail of the top bottom design for an example, and gives the solution for remote diagnosing in internet

    本文主要試圖解決這么幾個問題：面向故障診斷進行模擬建模；對模擬模型進行故障注入，獲取故障模式，從而獲取系統全面的專家知識；採用模糊神經網路對這些知識進行規約和抽象；採用模糊聚類演算法對專家知識進行診斷現場的融合；採用虛擬儀表獲取信號數據，運用小波變換等提取故障徵兆，實現故障的診斷和預測；基於模擬模型構建嵌套推理演算法，實現模擬故障排除訓練和考核，分析崗位人員對原理的掌握情況。
  14. Recently, date mining technology based on web has abstract the interest of many researchers. possession of lower data is the precondition of mining higher knowledge, and net information retrieval technique has become the urgent issue of date mining technology based on web, so the paper explore the research of it and focus on the information retrieval based on web. with the expectation of a intelligent information retrieval system, which can catch the interests of customers with good precision and capability, we give deep research to some of the information retrieval technique

    近幾年來， web數據挖掘技術引起了研究人員的關注，低層信息的佔有是發掘高層知識的前提，網路信息檢索技術便成為目前web數據挖掘的一個迫切需要深入研究的問題，因此，本文選擇web數據挖掘作為研究對象，重點研究的是基於web的信息檢索技術，對其中的一些相關內容進行了深入研究，旨在研究設計一種性能較好、能捕捉用戶興趣、提高精度的智能信息檢索系統，更好的滿足用戶的需要。
  15. In this thesis the theory and method of intelligent fault diagnosis for a large turbo - pump fed liquid - propellant rocket engine ( lre ) is innovatively proposed and developed, based on the hybrid reasoning strategy and the hybrid knowledge models including mathematical model, logic model, graphic model and qualitative model. the theory and method are constructed in the way of intelligent modeling technique and creative application of knowledge engineering, and focus on the difficult problems and critical techniques such as the unified treatment of lre knowledge ( experience, facts, rules, graph, system structure, behavior, model knowledge and measured data ), the integration and translation of qualitative and quantitative knowledge, and the knowledge - based intelligent fault diagnosis reasoning methods. firstly, besides the correlation of different knowledge, the concept and the types of lre diagnosis knowledge are systematically described

    本文以某大型泵壓式液體火箭發動機為研究對象，以智能建模技術和知識工程的創造性應用為主要技術手段，圍繞著發動機知識（經驗、事實、規則、圖形、結構、行為、模型知識與測量數據信息等）的統一處理技術、定性定量知識的集成與轉化和基於知識的智能故障診斷推理等關鍵技術和難點，創新地研究發展了發動機基於混合知識模型（數學模型、邏輯模型、圖形模型及定性模型）和混合推理策略的智能故障診斷理論和方法。
  16. Intelligent decision support system, combined by artificial intelligent and decision support system, is a assistant support system using logical reasoning to solve complicated decision making problem and applying expert system technology to make decision support system applys fully knowledge of humanbeing, which is processing knowledge in decision making process and reasoning knowledge in solving problems. agricultual decision support system is based on agricultural information system, crop simulate system and agricultural expert system. the paper is agricultural decision system based on expert system, which is called agricultural intelligent decision system. the aim is to make area division on food crop comprehensively and dynamicly, and to release the result on internet, which provides decision foundation for leaders, agricultural technics and farmers to adjust planting structure, increases income and to solve “ three agrulture ” problem

    本文在研究作物生產條件與產量的關系的基礎上，經過三個層次的推理有機組合提取了預測知識模型。在產量預測實現過程中應用移動agent技術，將大量的計算推理在數據端處理，提高了預測的效率。 3 .應用webgis 、移動agent技術、 arcims 、 servlet / jsp 、動態web等技術，提出了地理信息發布的技術方案，實現了分散式地理信息在分佈、異構、動態環境下的實時高效的的透明訪問，進一步增強了農業智能決策系統的功能。
  17. Further more, approach for fdd based on rough set theory and logical fault tree ( lft ) is presented. the feasibility of forming a knowledge discovering and intelligent decision - making system for these a

    6 、對下一步在基於粗糙集的過程建模、控制和故障診斷等方面將要進行的工作進行了展望。
  18. Therefore, according to this traffic situation and the newly agent technology, along with the intelligent control technology, this thesis discusses a new method to deal with traffic problem. at first, according to the agent theory and the feature of traffic system, based on analyzing the drawbacks of the present traffic control architecture, this thesis puts forward the agent - based intelligent traffic control system ( aitcs ), in this system, the traffic control strategy is made by the junction layer, every junction controls the traffic flow though its knowledge and communication with others, this improves the intelligence of the junction layer, and it is more flexible for the control system to suit the variable traffic condition

    本文首先基於agent理論以及交通系統本身的特點，在分析目前交通控制結構不足的基礎上，提出了基於agent的智能交通控制系統結構aitcs （ agent - basedintelligenttrafficcontrolsystem ） ，該系統將交通系統的控制策略的制定權放在各個交叉口，各交叉口根據自己的知識並通過相互協作進行交通系統的控制，提高了路口級的智能決策能力，從而使控制系統可更加靈活地適應交通系統復雜多變的特點，為真正實現交通系統的實時智能控制提供了可能。
  19. According to the development of technology and the need of the building up national defense, the need of various optimum decision support of weapon system is rapid rising. this is a opportunity to develop and apply the intelligent decision support system based on the knowledge for the weapon system

    隨著科技進步與國防建設需求的增加，武器系統的各類最優決策問題日益增多，這為基於知識的武器智能決策系統的開發和應用提供了一個很好的機會。
  20. 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。
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