摘要
模型的主要目标是基于IGES文件利用OpenGL和有限元网格分别实现船体的智能建模和网格划分,并且针对大量数据样本的情况提出基于分类错误率的决策树方法,提取有效的数据实现高效率的网格计算,以便更高效地建立舰船航行性能数值仿真模型。
The main objective of this model is to base on IGES files,using OpenGL and the finite element mesh to achieve the hull of intelligent modeling and meshing.In case there are a large number of data samples,the classification error rate based decision tree method is proposed to extract valid data for achieving high efficiency grid computing,so that the ships sailing performance numerical simulation model can be built more efficiently.
出处
《计算机应用与软件》
CSCD
北大核心
2012年第2期192-194,236,共4页
Computer Applications and Software
