With the changing application environment and more complex data modes, object oriented concept has been introduced in DBMS. 数据应用环境的演变和数据模式的越来越复杂,促使系统实现者在数据(库)管理系统中引入了面向对象的概念(OOC)。
The development of object oriented concept has mainly three stages : Object Oriented Analysis ( OOA ), Object Oriented Design ( OOD ) and Object Oriented Practicality ( OOP ). 面向对象开发一般经历三个阶段:面向对象的系统分析(OOA),面向对象系统设计(OOD)和面向对象系统实现(OOP)。
Basing on the object oriented concept lattice and the attribute oriented concept lattice, this paper deals with approaches to attribute reduction in consistent decision formal context. 本文研究基于对象定向概念格和属性定向概念格协调决策形式背景属性约简的问题。
The experiment shows that with merging the Object Oriented concept and symbol logic, the Intelligent Neural Network System Theory provides a way to build a big, complex NN system. 实验表明,智能神经网络系统组成原理将面向对象、符号逻辑融于神经网络中,提供了构造功能完备的智能系统的途径。
The data storage is based on RDS, design spatial database under the direction of object oriented concept and realize object storage. 数据的存储是以现有的关系数据库为基础,以面向对象的思想为指导来设计空间数据库,实现对象的存储。