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泛化的的英文

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"泛化的"怎么读用"泛化的"造句

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  • generic

例句与用法

  • Uml 2 . 0 replaced the state machine underpinning with a much more general semantic base that eliminated all of these restrictions
    Uml 2 . 0中用一个消除了这些限制的更泛化的语义基础替代了状态机的底层。
  • Olap make user obtain general , generalized knowledge by means of rolling up , drilling down , slicing , dicing , pivotting , etc . in this paper , the general knowledge categories can be obtained by use of olap and specific examples . this is important for network management performance data analysis
    Olap使得用户可以通过上钻、下钻、切片及旋转从各个角度获得各种泛化的一般的知识,本文通过具体的实例图示,给出通过olap实践可获得知识种类,它对我们的网络管理是非常有意义的。
  • Since the external restrictions to the universities are strong and the internal bureaucracy is widely spread , the innovation of our university system should concentrate on restoring universities ' academic characteristic , thus to build the universities into institutions which can meet the need of social development and can also inspire the academic creativity
    鉴于我国大学较强的外部约束以及内部行政权力泛化的现实,我国大学制度创新主要围绕回归大学的学术组织特性展开,建立既能适应社会需要又能激发学术创新力的制度结构。
  • The main contents are following : ( 1 ) from the methodology of nn , the basic theories on nn are discussed , with the emphasis on the mechanism of nn and its study rules . then the bp nn is concerned , because it is the comparatively most widely used nn type in the field of structure ' s damage identification ; ( 2 ) from the angle of system identification theories , the method and process of establishing the identification system model are demonstrated . also , how to implement a structural damage identification system of concrete architecture , based on bp neural network is demonstrated in the thesis ; ( 3 ) in order to find a more effective training algorithm of global approach , the way of optimizing network ' s weights using ga is demonstrated
    论文的主要内容包括: ( 1 )从神经网络理论出发,探讨了神经网络的基本理论,并重点论述了神经网络的工作机制和学习规则,及在结构损伤识别领域中广泛应用的前向神经网络模型- - - - bp神经网络模型; ( 2 )从系统识别论的角度,提出了利用神经网络建立混凝土结构损伤识别反问题的思路、方法和步骤,并在此基础上研究了基于bp神经网络的结构损伤识别系统对单处梁结构进行识别的方法; ( 3 )为了寻找一种更有效的全局逼近学习算法,本论文从神经网络与遗传算法相结合的角度,阐述了遗传算法结合bp算法优化神经网络权值的方法,实验证明,遗传算法和神经网络相结合不仅具有神经网络泛化的映射能力,而且具有遗传算法快速和全局逼近的优点,是一种较好的解决混凝土结构损伤识别问题的方法; ( 4 )基于java语言设计并实现了结构损伤识别系统。
  • While putting rough set theory into practice , this thesis pays attention to setting - up the proper data structure . in order to improve the data utilization ratio and promote rule quality , this thesis puts forward the method of " divide equally and examine each other this thesis bring forward the method of dynamic reduce to overcome data noise and confirm the best reduction finally with the help of rosetta tool software we apply the above concept and method to reality , and succeeded in obtaining the optimum rule for the expert system of production scheduling in daye iron ore mine , wuhan iron and steel company
    由于标准粗糙集模型对数据噪音高度敏感以及工程应用中数据噪音引入的不可避免性,标准粗糙集模型在实际应用中存在一系列问题,为克服数据噪音以及规则泛化的需要,本文采用变精度模型,由此模型引入近似约简方法。本文在将粗糙集理论及变精度粗糙集模型应用于实际的同时,注重研究了适当数据结构的建立。为提高数据利用率,提升规则生成的质量,提出了平分互测规则集泛化能力考核方法。
  • In recent years , with the deep research on sociology and psychology , the interaction and inter - effect in teaching process are gradually paid more attention to in educational and teaching process . educational researchers have set out to research it , but the researchers still lie on the surface of the question and not concrect
    近年来,随着社会学、心理学以及教育科学研究的不断深入,教师与学生在教育教学过程中的交互作用、交互影响日益引起教育界的广泛关注,教育研究者纷纷把“师生互动”问题纳入视野,但研究尚处于泛化的层面,所指也比较笼统。
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