摘要
提出一种神经网络方法,用于逆工程中自由曲面的重建。讨论了网络结构、修改的BP学习算法,并给出了网络重建一个NURBS曲面的精度。结果表明该方法可以用来重建已有曲面的数学模型,进而用于加工这些曲面。
The paper presents a neural network approach to the reconstruction of freeform surfaces for reverse engineering. To evaluate the effectiveness of the approach, a mathematically known surface, a nonuniform B-spline surface, was used for generating a number of samples for training the networks. The trained networks then generated a number of new points which were compared with the calculated points using the known surface equations. The networks structure and modified BP algorithm were also discussed. The results show that the approach can be used to reconstruct computer representations of the existing surfaces and to manufacture them. An example is included to illustrate the approach.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
1998年第9期42-45,共4页
China Mechanical Engineering
关键词
神经网络结构
自由曲面
逆工程
曲面重建
neural network freeform surfaces reverse engineering reconstruction of surfaces