| 基于RBF神经网络曲线重构的算法研究 |
| |
| 引用本文： | 杨吟冬,周永权,李陶深,侯占伟.基于RBF神经网络曲线重构的算法研究[J].计算机工程与设计,2007,28(10):2405-2407. |
| |
| 作者姓名： | 杨吟冬 周永权 李陶深 侯占伟 |
| |
| 作者单位： | 1. 广西大学,计算机与电子信息学院,广西,南宁,530004
2. 广西民族大学,数学与计算机科学学院,广西,南宁,530006 |
| |
| 基金项目： | 国家自然科学基金
,
广西自然科学基金 |
| |
| 摘 要： | 提出一种基于径向基(RBF)函数神经网络的曲线重构学习方法,即由描述物体轮廓特征的样本点作为RBF神经网络的学习样本,利用RBF神经网络强大的函教逼近能力对样本点进行学习和训练,从而仿真出包含这些样本点的原始曲线,同时对于曲线一些样本点缺少的情况下,仍然能构通过调整参数训练得到这些样本点的原始拟和曲线.实验表明,基于径向基(RBF)函数的神经网络具有很强的物体边界描述能力和缺损修复能力.
|
| 关 键 词： | 径向基函数 神经网络 曲线 拟合 修复 数神经网络 曲线重构 算法研究 radial basis function network based reconstruction curve 修复能力 缺损 描述能力 边界 函数 实验 参数训练 调整 情况 原始曲线 仿真 学习和训练 逼近能力 |
| 文章编号： | 1000-7024（2007）10-2405-03 |
| 修稿时间： | 2006-04-28 |
Method for curve reconstruction based on radial basis function network |
| |
| YANG Yin-dong,ZHOU Yong-quan,LI Tao-shen,HOU Zhan-wei.Method for curve reconstruction based on radial basis function network[J].Computer Engineering and Design,2007,28(10):2405-2407. |
| |
| Authors: | YANG Yin-dong ZHOU Yong-quan LI Tao-shen HOU Zhan-wei |
| |
| Affiliation: | 1. College of Computer and Electron Information, Guangxi University, Nanning 530003, China; 2. College of Computer and Information Science, Guangxi University for Nationalities, Nanning 530006, China |
| |
| Abstract: | A new method based on radial basis function(RBF) neural network for curve reconstruction is introduced.The sample which can describe curve's feature used as input of the RBF neural network,then take advantage of RBF's powerful ability of function approach to learn and train these sample,thus constructs the curve which contains these sample.Meanwhile,when sample is not enough to describe a curve,this method can also construct a fitting curve and satisfy the precision.Experimental results testify that RBF neural network has a powerful ability on construting and restoring a curve. |
| |
| Keywords: | RBF neural network curve fitting restore |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
