modeling knowledge 中文意思是什麼

modeling knowledge 解釋
模擬知識
  • modeling : n. 製造模型的方法，造型（術）；塑像術；【美術】立體感（表現法）；模特兒職業。 the modeling of one's features 某人臉部的形象。
  • 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。
  1. Sme ( spatial modelling environment ), which transparently links icon - based modeling environments with advanced computing resources, allows modellers to develop simulations in a user - friendly, graphical environment, requiring no knowledge of computer programming

    Sme明顯是利用先進的計算資源連接基於圖標的模型環境，它允許建造者開發用戶友好的模擬器，圖形環境，不需要計算編程方面的知識。
  2. In this paper, we study focus on building intrusion detection model based the technique of data mining ( dm ). firstly, the paper designed a scheme to modeling intrusion detection based dm and bright forward the idea of descriptive model and classified model to intrusion detection. secondly, we designed and implemented a net data collection system with high performance and a scheme to pretreat net data. thirdly, after studying the algorithms to mine association rule and sequence rule in net data, we extended and improved the algorithms according to the characteristic of net data and the field knowledge of intrusion detection

    首先設計了基於數據挖掘技術的入侵檢測建模方案，提出使用該技術建立入侵檢測描述性模型和分類模型的思想，並用分類判決樹建立了入侵檢測分類模型；其次，設計和實現了一個高性能的網路數據採集系統和網路數據預處理的方案；然後，在對關聯規則挖掘和序列規則挖掘演算法進行研究的基礎上，結合網路數據的特性和入侵檢測領域的知識對演算法進行了擴展和改進，挖掘出了網路數據的關聯模式和序列模式；最後，研究了描述性模式的應用，並設計出基於模式匹配的入侵檢測引擎，該引擎具有誤用檢測和異常檢測功能。
  3. This thesis introduces the working principle, craftwork requirement, modeling process, control strategies and the realization of lf refining furnance bottom blowing argon control system. through the study and analysis of bottom blowing argon process control system, the thesis discusses the mean neural network model of controlled object and the mathematical models of the exectors, pwm adjustable pressure controller and pcm adjustable flux controller according to the relevant liquid knowledge and relevant data, including design data, test data and running data. to begin with the craftwork reguirement of bottom blowing argon and the actual instance of the control system, it presents the strategies of fuzzy parameters self - adaptive pid control used in pressure difference inner loop and fuzzy plus pi compound control used in flux outer loop which are based on the above modeling in order to carry out the accurate control of argon flux

    本文介紹了lf精煉爐底吹氬過程式控制制系統的工作原理、工藝要求、建模過程、控制策略以及控制系統的實現。通過對精煉爐底吹氬過程式控制制系統進行研究與分析，並根據流體力學的有關知識以及有關數據（其中包括設計數據、試驗數據和運行數據） ，建立起了被控對象的平均神經網路模型和執行機構（即pwm調壓器和pcm調流器）的數學模型。在此模型的基礎上，從底吹氬工藝要求和控制系統的實際情況出發，提出了壓差內環模糊參數自適應pid控制策略和流量外環模糊pi復合控制策略，以實現氬氣流量的精確控制。
  4. Due to the incompleteness of model library and uncertainty of modeling knowledge, qualitative compositional modeling is a process of " generate and test " during which the composed model must be modified and improved. there are two separate sub - tasks about cm, model composition and model simulation, which communicate with each other through qualitative differential equations ( qde )

    定性模型的特點，決定了定性組合建模是一個需要重復調整和完善的迭代過程，建模與模擬是通過定性微分方程相關聯的兩個子任務，建模是模擬的基礎，模擬是對建模結果的檢驗。
  5. ( 1 ) for methodological syncretization of emi and km, existing reference architectures ( ras ) do not clearly reflect the level characteristics of enterprise knowledge and its organization and application modes. ( 2 ) for enterprise knowledge capture and application, existing enterprise modeling methods face the dilemma of how to facilitate friendly collaboration and communication between system analysts / developers and enterprise staffs, and how to help system analysts / developers utilize model knowledge to carry out effective quantitative analysis. ( 3 ) for knowledge re - use, it lacks powerful knowledge repository systems for enterprise model re - use and corresponding mechanisms for knowledge extraction, classification and index

    目前國內外關于該方向的研究尚處于起步階段，有許多問題亟待解決，主要表現在：在企業集成與知識管理的方法論融合方面，現有參考體系結構沒有很好地反映出企業知識的層次特徵及其組織、應用方式；在企業知識的收集與應用方面，現有企業建模方法在如何促進系統分析設計人員與企業人員進行友好的合作與交流和如何幫助系統分析設計人員利用模型知識進行有效的定量分析這兩個問題上存在著矛盾；在知識重用方面，缺乏面向企業模型重用的功能完備的知識庫系統及相應的知識提煉和分類檢索機制，能夠被業界廣泛接受的參考模型尚不多見；在建立面向企業集成的基於知識的系統方面，尚沒有很好地解決知識的形式化表示問題，缺乏用於描述企業深層知識的形式化建模手段。
  6. This method takes generalized tri - prism ( gtp ) as primitive modeling element, realizes inference and automatic modeling of geological structure including faults according to characteristics of borehole data and the knowledge inference rule, which can avoid unnecessary manual intervention, extend applicable range and expressing capability of 3d geological modeling

    該方法以廣義三稜柱作為建模的基本體元，根據鉆孔數據的特點和知識推理規則，進行斷層等復雜地質構造的推理和自動建模，避免了不必要的人為干預，擴展了鉆孔數據建模的適用范圍和表現能力。
  7. We constructed the ticket ontology and ticket service using these technologies, and applied ontology modeling technology, knowledge inference technology and primitive - based interaction technology in this domain. these measures made the infrastructure of web services more complete, intelligent and extensible

    我們基於這些技術構造了ticketontology和ticketservice ，在此服務領域內推廣和應用了本體建模技術、知識推理技術和基於原語的交互技術，使得web服務體系的底層結構更為完備，具有更好的智能性和可擴展性。
  8. At present, the development of knowledge - based systems is considered as a modeling process, which is to build a computer model for solving problems with an expert ’ s ablity

    目前知識系統的開發被視為一個建模活動，即建立一個具有專家能力的求解問題的計算機模型。
  9. Based on the sum - up and abstraction of the relationships of rapeseed growth characters with ecological environment, cultivar type, production condition and yield target, a dynamic knowledge model was developed by using knowledge engineering and system modeling method, which could be used for designing a suitable sowing and transplanting scheme of different rapeseed varieties under different spatial and temporal environments

    摘要運用知識工程和系統建模方法，在總結、歸納和提煉油菜生長發育與生態環境、品種類型、生產技術水平和產量目標關系的基礎上，建立了具有時空適應性的油菜播栽方案設計的動態知識模型，可用於精確定量不同環境和生產條件下油菜品種的適宜播期、基本苗、播種量和移栽方案。
  10. 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 ） 。
  11. In this regard adequate shale modeling must be part of a good reservoir description : providing the knowledge of the spatial distribution of heterogeneities in the internal architecture of the reservoir, it becomes a key factor in the production planning and optimized oil recovery

    在這方面，適當的頁巖模型必定是良好油藏描述的一部分:這種模型能夠提供油藏內部非均質性的空間分佈信息，非均質性是開發生產規劃設計中一個關鍵的考慮因素
  12. The resolution : modeling the knowledge system

    解決方案：知識體系模型化！
  13. The modeling of ontology - based knowledge base system is one of the research hot spots in knowledge engineering

    基於ontology知識庫系統的建模，是目前知識工程界研究的熱點。
  14. It supports the man - machine interaction, from low level of primitive image features to get high level of logical features, and then studies the training data via man - machine interaction, finally mines knowledge and model needed. the simple hierarchical modeling is suitable for different application in remote sensing image and for the development of remote sensing technology

    在分層模型支持下進行互動式學習的挖掘，即從遙感圖像中低層次的原始特徵出發，提取得到高層次的邏輯特徵，通過人機交互，學習用戶提供的訓練數據，挖掘用戶所需要的知識和模式，這種方法能夠適應遙感圖像的不同應用需求。
  15. We divide the web - based laboratory system into two categories according to their execution environments and point out the necessary conditions to construct such a web - based laboratory. chapter 2 introduces the base knowledge of process control, the content and the goal of experiment of process control based on the system we want to construct. chapter 3 analyzes the existing problems of using traditional method to construct such a system. it introduces two - tier computation mode - clientlserver, multi - tier computation mode - brower / server, microsoft ' s comidcom development architecture and the reasons why it is unfit for developing our system. chapter 4 first introduces the base concepts of agent technology. next it analyzes and designs the web - based laboratory by using agent technology from some aspects such as distributed - deal, software reuse, initiative, intelligence, nature - modeling

    第二章以我們所要構建的網上過程式控制制實驗室為基礎，詳細介紹了過程式控制制一些基本知識以及過程式控制制實驗的內容和實驗目的，提出了實現網上過程式控制制實驗室的所要達到的目標。第三章分析了傳統的類似系統設計時存在的若干問題。介紹了client server兩層計算模式、 brower server多層計算模式、 microsoft的com dcom開發架構、面向對象的設計等方面的知識。
  16. We will also examine knowledge representation schemes for capturing biomedical domain complexity and principles of data modeling for efficient storage and retrieval

    我們也將檢視能涵蓋生物醫學領域復雜度的知識表現方案，以及能夠有效存取的資料模型。
  17. The main contribution and research works are as follows : 1. based on mechanism modeling basic state space equation was built. and then by exploiting expert knowledge, operational experience and logical constraints in systems, industrial process hybrid model was built. stability of this model was defined and the method of designing controller based on predictive control was present

    結合機理建模和數據建模，利用機理建模的方法建立系統的基本的狀態方程，再利用專家的知識、操作工的經驗、系統本身的邏輯關系，將這二者聯系在一起，建立系統的結合邏輯與規則的混雜模型，討論了此類混雜模型穩定性的定義，並給出了基於預測控制的設計控制器方法以及預測控制系統穩定性條件。
  18. The two - stage modeling method takes into account the characteristics of software project risk management and software metrics data, integrates qualitative knowledge and quantitative data. to study the software project iterative process risk ’ s bayesian network model, the definition of cyclic bayesian network is presented, probability convergence property of directed cycle in cyclic bayesian network is proved and probability inference method is put forward

    論文在軟體項目迭代過程風險的貝葉斯網路模型研究中，定義了有環貝葉斯網路，證明了有環貝葉斯網路中有向環的概率收斂性質，給出了有環貝葉斯網路的概率推理方法。
  19. The representation of knowledge and its reasoning mechanism shall not be the only things to be emphasized, because large knowledge base systems, which need the sharing and transferring of knowledge, should be developed according to the theory of modeling

    知識庫系統的研究不能只側重於知識的表示及其推理機制。對于大型知識庫系統，由於需要知識共享及知識轉換，必須根據建模的思想來開發。
  20. We can truly teach the manager a practicality and effective management ways and tools which can be used in the working, find the learning and behavior change quickly by modeling knowledge system and associating the contents

    我們培訓的知識體系模型化、內容相互關聯呼應，有機結合，真正教會管理者一套實用的、有效的可在工作中使用的管理方法和工具，最快地看到學習和應用的效果！
分享友人
分享到 Line

分享到臉書