The second part discussed the theoretical knowledge and data models of DGNDBS; studied the feature, work model and main technique of the network database system.
第二部分从理论上讨论了动力大地测量网络数据库系统的基础知识和数据模型，研究了网络数据库系统的特点、工作模式以及主要技术。
At last, by means of inverse decision making principle, a process route of features and parts are generated on the base of feature based part model.
最后，在所建立的零件特征模型的基础之上，采用逆向决策原则，进行特征工艺路线和零件工艺路线的生成。
The feature functions were reckoned as the most important part of the maximum entropy model which could affact the last result of system.
在最大熵等统计机器学习模型当中，特征函数的选择可以说是对系统整体性能影响最大的部分。
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