quality of knowledge meaning in English
知识质量
Examples
- A research on the present state of mental quality of knowledge feminity in college
我国高校知识女性心理素质特点的调查研究 - Integrating and updating domain knowledge with the process of data mining , and merging knowledge into the original knowledge base , will contribute to reducing the scale of the data and improve efficiency and quality of knowledge that will be mined
把领域知识作为发现过程的重要组成部分，并将所发现的知识与原有知识融合，合理利用领域知识将有助于降低数据规模，提高知识发现的效率和质量。 - By discussing the factors which effects the knowledge sharing and technology transfer during the collaboration process , this article proposed that setting up a rational and effective legislative cooperation agreement will enhance the quality of knowledge sharing and improve the efficiency of technology transfer
文章论述了影响合作过程中的知识共享和有效转移的因素，认为在合作关系中建立合理有效的保障体系，将会提高知识共享程度与转移效率。 - There have been controversies over the effects of pbl on the quality of knowledge acquisition , but it is admitted that this method can enhance learning motivation , higher order thinking , the ability to gain and apply knowledge , and skills of social interaction
关于基于问题学习在知识获得方面的影响，目前尚有争议，但普遍反映这种教学方法能够提高学生学习动机，促进学生高层次思维，提高他们获得和应用知识的能力，而且能够培养一定的人际技能。 - 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。