knowledge model 中文意思是什麼

knowledge model 解釋
知識模型
  • 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。
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  1. In order to describe the complexity of aircraft and make the digital product definition ( dpd ) model hereditable and patulous, a product - process - resource ( ppr ) knowledge model for aircraft is presented

    摘要為描述飛機產品的復雜性，使數字化產品定義模型具有良好的可繼承性和可擴展性，提出了飛機產品過程資源知識模型。
  2. The ppr knowledge model is applied in dpd of an aircraft ' s wing, and its application shows that with patulous hereditable, this model can provide single data - source for product development during product life cycle

    應用結果表明，該模型能夠為產品開發的整個生命周期提供單一的數據源，並具有良好的知識可擴展性和可繼承性。
  3. The knowledge model for diagnosis and regulation includes calculation of differences in growth indices, possibility of regulation and intensity of regulation practices

    苗情診斷調控知識模型包括生育指標差異、調控可能性分析以及調控強度推薦等。
  4. In the first part of our research, we analyzed the causality hiding in substation abnormal condition processing, constructed one tree - like knowledge model ; based on this model, inference engine and database was designed ; finally, the first es was realized in visual c + + developing environment. in addition, for the sake of customer ' s maintaining this system, one customer - oriented knowledge editor was developed

    在變電異常檢查處理專家系統的研究中，我們分析了變電異常檢查處理中蘊涵的因果關系，創建了一種樹狀知識模型；根據這個知識模型，進行了推理機和數據庫的設計；最後，在visualc + +開發平臺上對這個系統進行了編程實現。
  5. The knowledge model for pre - sowing plan design includes submodels of target yield calculation, variety selection, sowing or transplanting date, population density and sowing rate, fertilization and water management strategy

    其中，播前方案設計知識模型包括產量目標、品種選擇、播栽日期、種植密度與播種量、肥料和水分運籌等。
  6. 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。
  7. The knowledge model for the dynamics of main development indices includes submodels of suitable development stages, plant height, leaf area index, dry matter accumulation, numbers of fruit branch, square and boll, plant nutrient accumulation

    生育指標動態知識模型包含有適宜生育期、株高、葉面積指數、干物質積累量、果枝和蕾鈴數目，營養物質積累量等。
  8. The knowledge model for the dynamics of main development indices as plant height, leaf area index, dry matter accumulation, numbers of fruit branch, square and boll was developed based on the physiological time and target yield and quality. in addition, the dynamic relationships between plant nutrients and dry matter accumulation was quantified. all these sub - models provide the reference standards for quantitative and dynamic growth diagnosis and management regulation

    進一步根據產量和品質目標構建了株高、葉面積指數、干物質積累量、果枝和蕾鈴數目變化與生理時間之間的動態關系知識模型，初步量化了棉株養分積累量與干物質積累量之間的動態關系，從而為定量化的苗情診斷和管理調控提供了參考標準。
  9. The dynamic knowledge model with temporal and spatial characters for cotton management includes three modules as pre - sowing plan design, dynamic development indices, diagnosis and regulation

    具有時空適應性的棉花栽培管理動態知識模型主要包括播前方案設計、生育指標動態和苗情診斷調控知識模型三個部分。
  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. This research investigated the variability and the quantitative relationships among soil nutrients ( soil ph, total n, organic matter, available p ), growth status ( spad, lai and spad lai ) and yield of rice. all data were analyzed by both classical statistics and geostatistics based on gis. by further integrating gis, gps and crop management knowledge model, a decision support system for precision farming ( dsspf ) was developed, which laid a technical foundation for the practical application of precision farming system

    本研究基於gis技術，以經典統計和地統計學為分析手段，確立了田區土壤養分（土壤ph 、全氮、有機質、速效磷、速效鉀） 、水稻作物長勢（ spad 、 lai 、 spad * lai ）和產量的空間變異特徵及定量關系；進一步以作物管理知識模型為智能決策支撐，提出了gis與模型及gis與gps的組件化集成技術，構建和實現了基於田區作物產量、土壤養分和苗情監測差異的精確農作決策支持系統（ dsspf ） ，為精確農作系統的應用奠定了技術基礎。
  12. As the pattern ' s quality is the precondition of getting credible knowledge model, the data pretreatment should be done before the data mining

    數據樣本的質量是保證數據挖掘得出可靠知識模式的前提，所以在進行數據挖掘前，要進行必要的數據預處理。
  13. This article also defines an agent knowledge model, including entity, task and plan

    本文還對該智能agent內部知識模型，包括實體、任務、規劃等進行了定義。
  14. It is rather difficult to precisely and completely express packing problems using any single knowledge model such as mathematical model or symbolic models

    它很難用單一模式的知識模型（如數學模型）來精確表達。
  15. A compact knowledge model, called concept - relation model ( or cr model for short ), is used as a level of abstraction over different disciplines

    本文採用簡潔的知識模型一概念關系模型（ concept relationmodel ）對不同的學科進行抽象獲得領域本體的抽象層，在領域本體的抽象層
  16. Meanwhile a user ' s knowledge model which is found on one ' s interest in special domain is constructed to provide personal services and improve the accuracy rate of web searching

    同時本文還研究、構建了基於專業興趣度的用戶知識模型，為用戶提供個性化服務，提高系統的智能性。
  17. Case studies on the knowledge model with the data sets of three different sites, nine different variety types, and two different sowing styles indicated a good performance of the model system in decision - making, explanation, and wide applicability

    利用南京、鄭州和保定3個地點的常年逐日氣象資料以及各點不同品種和播種方式資料對播栽方案設計模型進行實例分析，結果表明，該知識模型對播期和基本苗設計均具有較好的決策性、解釋性和適用性。
  18. And production rules are used to express the expert ’ s knowledge. model bases and reasoning machine are accomplished by using visual basic 6. 0 programming technology ; interface follows the windows ’ pattern. the peanut cultivation expert systems can realize functions such as simulating and predicting peanut ’ s growth and development, designing peanut cultivation

    該系統可以根據花生種植地區的氣候、土壤和生產條件，實現花生生長發育的模擬與預測、花生栽培方案的設計、花生病蟲害的診斷與防治、信息咨詢和花生知識學習等功能，並能夠通過知識庫管理和維護系統進行知識的修改、添加和刪除，實現知識的獲取和管理功能。
  19. Therefore, based on formers " research and recurring to the rather strong ability of holding mistakes possessed by rough set theory, this paper present a new attribute reduction arithmetic as well as an improved value reduction arithmetic based on the combination of rough set theory and duality boolean calculation, and use it to handle the reduction progress of the decision table including all kinds of fault cases which is established by considering the signals of protection relays and circuit breakers, then form the general mixed knowledge model and bring up an idea about automatic production of decision table

    為此，本文在前人研究的基礎上嘗試藉助粗糙集理論所具有的較強的容錯能力，提出了基於粗糙集理論與二值邏輯運算相結合的屬性約簡演算法以及改進的值約簡演算法，並將其應用於由斷路器和保護為條件屬性，考慮各種故障情況所組成的診斷決策表的約簡過程中，形成了混合策略知識模型，同時提出了診斷決策表自生成的基本思想。
  20. The aims of this dissertation include : try to solve problems in rough set based knowledge discovery and machine learning ; build up knowledge model for complex industrial processes ; following the concepts and approaches of nonlinear system control, construct a control system framework based on rough state space ; apply rough set theory to fault detection and diagnosis ( fdd ). the main contributions of the dissertation are as follows : 1 reviewed the developments and research situation of rough set theory

    本文的主要目的是試圖解決粗糙集在知識獲取、機器學習以及工業生產實際運用中所遇到一些主要問題，利用粗糙集在分析處理不完全、不精確和不一致數據中所具有的優勢，對復雜工業過程進行基於規則的非機理知識建模，在規則模型的基礎上，結合現代控制理論中的有關概念和方法，構造粗糙控制的初步框架，並將粗糙集方法運用於故障診斷。
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