径向基函数神经网络曲面数据破损修补

本文针对工业零件设计中曲面数据的破损问题，提出了一种基于径向基函数(RBF)神
经网络的数据修补方法。阐述了数据修补方法的原理，设计了网络结构和训练算法，运用K均值算法实现隐层节点的中心初始化。通过两种曲面的数据进行训练，并对此两种曲面数据破损进行修补，结果表明，本文提出的曲面数据破损修补方法是有效的。
关键词: 曲面破损 数据修补 径向基函数神经网络
Curved Surface Insufficient Data Mending Using RBF Neural Network Yan Juan1 Wu Yuzhi2
1. College of Computer and Information Technology, Henan Normal University 2. Department of Computer, Jiaozuo University Abstract. The paper proposes a curved surface data mending method aimed to the problem of insufficient data in the modern industry based on the radial basis function(RBF) neural network. Introduces the theory of data mending. Designs the configuration and train algorithm of the network. Uses the K-means to initialize the points input of hidden-lay. Trains the neural network and does mending examination through two groups of curved surface data. The results show that the method proposes in the paper is efficient.
Key Words insufficient curved surface, data mending, RBF neural network