泛化的 meaning in English
generic
Examples
- 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。