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Home > english-chinese > "dynamic knowledge" in Chinese

Chinese translation for "dynamic knowledge"

动态知识

Related Translations:
carnal knowledge:  猎爱的人性关系, 性交性交
elementary knowledge:  基本知识
explicit knowledge:  外显知识又重视显性知识
self knowledge:  自知之明
metacognitive knowledge:  元认知知识
knowledge acquirer:  知识买方
knowledge ecology:  知识环境知识生态学
knowledge leadership:  知识领导层
knowledge asset:  知识资产
knowledge robot:  知识机器人
Example Sentences:
1.Evolutionary game of dynamic knowledge exchanging in knowledge interaction
知识互动中的知识交换行为进化博弈分析
2.The effects of learner - generated diagrams on understanding and application of dynamic knowledge in explanatory text
学习者生成图解对说明文阅读理解和应用的效果
3.Experimental results show that the construction of the dynamic knowledge is reasonable and the retrieval efficiency is improved
初步测试结果表明,本系统建立的知识库结构比较合理,在一定程度上改善了检索精度。
4.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
具有时空适应性的棉花栽培管理动态知识模型主要包括播前方案设计、生育指标动态和苗情诊断调控知识模型三个部分。
5.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、采用时态逻辑描述静态知识的时态属性以及动态知识的时态关系和约束,把它们独立出来作为时态知识进行处理。
6.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
我们的经验告诉我们以大学为依托的经济实体对促进爱尔兰知识经济的蓬勃发展起着至关重要的作用,促使了未来更多、更好、更有价值的工作机会的持续性的增长。
7.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
本文在总结现在方法的基础上,讨论并实现了一个基于动态知识库的全文信息检索系统( dkirs ) ,本系统试图通过自动构建的动态知识库解决这两类词汇问题,在一定程度上弥补了现有方法的一些不足之处。
8.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年的鲁丁报告、 1997年的税收一揽子计划和2001年的双路线战略是欧盟公司税协调的三大转折点,具有深远的历史意义,这三个部分是本部分也是本文的重点。
9.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
本研究着重利用系统分析原理和数学建模技术来研究作物栽培管理的知识表达体系,在广泛收集及充分理解和分析棉花栽培管理专家知识、经验和资料的基础上,利用棉花栽培理论与技术方面的现有研究成果,并结合必要的试验支持,解析、提炼和综合棉花生育及管理指标与品种类型、生态环境及生产水平之间的定量化关系,首次构建了棉花栽培管理动态知识模型,并进一步结合基于知识规则的棉花栽培管理知识库表达系统,设计和实现了综合性、智能化和构件化的基于知识模型的棉花管理决策支持系统( kmdsscm ) 。
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
本文首先讨论了影响神经网络的泛化能力的因素,提出了一种新的结构自适应神经网络学习算法,在新方法中,采用了遗传算法对神经网络的结构参数(隐层节点数、训练精度、初始权值)进行优化,大大提高了神经网络的泛化能力和知识动态获取自适应能力;其次,构造集成神经网络,引入数据融合算法,实现了基于集成神经网络的融合诊断,有效地提高了知识获取的全面性、完善性及精度;然后,针对知识获取过程中所存在的不确定性、不完备性等问题,探讨了运用粗糙集理论的知识获取方法,通过缺损数据补齐、连续数据的离散、冲突消除、冗余信息约简、知识规则抽取等一系列的算法实现了智能诊断的知识规则获取;最后,将粗糙集理论与神经网络相结合,研究了粗糙集-神经网络的知识获取方法。
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