dynamic knowledge造句
例句與造句
- Evolutionary game of dynamic knowledge exchanging in knowledge interaction
知識互動中的知識交換行為進化博弈分析 - The effects of learner - generated diagrams on understanding and application of dynamic knowledge in explanatory text
學習者生成圖解對說明文閱讀理解和應用的效果 - Experimental results show that the construction of the dynamic knowledge is reasonable and the retrieval efficiency is improved
初步測試結(jié)果表明，本系統(tǒng)建立的知識庫結(jié)構(gòu)比較合理，在一定程度上改善了檢索精度。 - 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(tài)知識模型主要包括播前方案設計、生育指標動態(tài)和苗情診斷調(diào)控知識模型三個部分。 - Second , temporal logic is adopted to describe the temporal attributes of the static knowledge and the temporal relations , constraints of the dynamic knowledge , with which are dealt as isolated temporal knowledge
二、采用時態(tài)邏輯描述靜態(tài)知識的時態(tài)屬性以及動態(tài)知識的時態(tài)關(guān)系和約束，把它們獨立出來作為時態(tài)知識進行處理。 - It's difficult to find dynamic knowledge in a sentence. 用dynamic knowledge造句挺難的
- Our experience shows that university - based businesses have a vital role to play in fostering a dynamic knowledge - based economy in ireland , that will provide sustained growth with more , and better , higher - value jobs in the future
我們的經(jīng)驗告訴我們以大學為依托的經(jīng)濟實體對促進愛爾蘭知識經(jīng)濟的蓬勃發(fā)展起著至關(guān)重要的作用，促使了未來更多、更好、更有價值的工作機會的持續(xù)性的增長。 - On the basis of these approaches , we discuss and implement dkirs ( dynamic knowledge base information retrieval system ) , which addresses these problems by carrying out the query expansion through dynamic knowledge
本文在總結(jié)現(xiàn)在方法的基礎上，討論并實現(xiàn)了一個基于動態(tài)知識庫的全文信息檢索系統(tǒng)( dkirs ) ，本系統(tǒng)試圖通過自動構(gòu)建的動態(tài)知識庫解決這兩類詞匯問題，在一定程度上彌補了現(xiàn)有方法的一些不足之處。 - In 1997 , the tax package in eu seeks to develop a co - ordinated approach to harmful tax competition and it plays an important role in internal market . recently , the eu has set itself the strategic goal " become the most competitive and dynamic knowledge - base economy in the world "
其中， 1992年的魯丁報告、 1997年的稅收一攬子計劃和2001年的雙路線戰(zhàn)略是歐盟公司稅協(xié)調(diào)的三大轉(zhuǎn)折點，具有深遠的歷史意義，這三個部分是本部分也是本文的重點。 - 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(tǒng)分析原理和數(shù)學建模技術(shù)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(jīng)驗和資料的基礎上，利用棉花栽培理論與技術(shù)方面的現(xiàn)有研究成果，并結(jié)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(tài)環(huán)境及生產(chǎn)水平之間的定量化關(guān)系，首次構(gòu)建了棉花栽培管理動態(tài)知識模型，并進一步結(jié)合基于知識規(guī)則的棉花栽培管理知識庫表達系統(tǒng)，設計和實現(xiàn)了綜合性、智能化和構(gòu)件化的基于知識模型的棉花管理決策支持系統(tǒng)( kmdsscm ) 。 - 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(jīng)網(wǎng)絡的泛化能力的因素,提出了一種新的結(jié)構(gòu)自適應神經(jīng)網(wǎng)絡學習算法,在新方法中,采用了遺傳算法對神經(jīng)網(wǎng)絡的結(jié)構(gòu)參數(shù)(隱層節(jié)點數(shù)、訓練精度、初始權(quán)值)進行優(yōu)化,大大提高了神經(jīng)網(wǎng)絡的泛化能力和知識動態(tài)獲取自適應能力;其次,構(gòu)造集成神經(jīng)網(wǎng)絡,引入數(shù)據(jù)融合算法,實現(xiàn)了基于集成神經(jīng)網(wǎng)絡的融合診斷,有效地提高了知識獲取的全面性、完善性及精度;然后,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(shù)據(jù)補齊、連續(xù)數(shù)據(jù)的離散、沖突消除、冗余信息約簡、知識規(guī)則抽取等一系列的算法實現(xiàn)了智能診斷的知識規(guī)則獲取;最后,將粗糙集理論與神經(jīng)網(wǎng)絡相結(jié)合,研究了粗糙集-神經(jīng)網(wǎng)絡的知識獲取方法。 - In this article , the author analyzes the new change of ability of technical innovation with dynamic knowledge conception . the author also discusses the relationship between the knowledge current and the ability of technical innovation from these three dimensions ( aspects ) : the knowledge current and the technical innovation ; the knowledge deposit and the technical ability ; the knowledge current and the ability of technical innovation . the enterprise should probe into from following direction : establishing learning organizations , strengthening the transform of knowledge inside the enterprise , regarding the transfer of knowledge among enterprises , establishing efficient and smooth systems for the knowledge current
本文分析了動態(tài)知識觀指導下的技術(shù)創(chuàng)新能力新變化，從知識與技術(shù)創(chuàng)新、知識存量與技術(shù)能力、知識流與技術(shù)創(chuàng)新能力三個維度探討了知識流與技術(shù)創(chuàng)新能力之間的關(guān)系，認為建立學習型組織，強化企業(yè)內(nèi)部知識轉(zhuǎn)化，重視企業(yè)間的知識轉(zhuǎn)移，建立高效、順暢的知識流動機制應是企業(yè)提高技術(shù)創(chuàng)新能力的探索方向。 - We adopt local context analysis to extract characteristic words from the documents retrieved by a user query , then apply subsumption approach and resemble approach in discovering terms relationships . the dynamic knowledge is composed of these extracted terms and term relationships , as well as user ' s feedback information . dors expands user ' s query according to the dynamic kno wledge
我們采用局部上下文分析法從檢索結(jié)果中提取與查詢相關(guān)的特征詞，然后采用包含方法和相似方法判定這些特征詞之間的相關(guān)關(guān)系，并利用所提取的概念與概念之間的關(guān)系以及用戶的反饋信息動態(tài)地構(gòu)造和更新知識庫。 - Concerning the key issues of tacit knowledge management platform establishment , including organization reform , workflow reengineering , and knowledge conversion , this dissertations suggests detailed improvement measures . through organization reform , a new management position , chief knowledge officer , is setup in company management meeting , dynamic knowledge management team is established , and so on . through workflow reengineering , the product
組織變革包括設立知識主管cko 、建立知識管理團隊、在公司經(jīng)理會成員中增加知識主管cko ,以及成立動態(tài)團隊等;通過流程再造優(yōu)化產(chǎn)品開發(fā)和項目集成的流程;并從激勵機制、企業(yè)文化、轉(zhuǎn)化通道建設,以及建立知識聯(lián)盟等幾個方面提出促進隱性知識轉(zhuǎn)化的措施。 - 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(tǒng)建模方法，在總結(jié)、歸納和提煉油菜生長發(fā)育與生態(tài)環(huán)境、品種類型、生產(chǎn)技術(shù)水平和產(chǎn)量目標關(guān)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(tài)知識模型，可用于精確定量不同環(huán)境和生產(chǎn)條件下油菜品種的適宜播期、基本苗、播種量和移栽方案。