| 引用本文: | 李益国, 沈炯, 吕震中.一种新的小波神经网络结构优化设计方法[J].控制理论与应用,2003,20(3):329~331.[点击复制] |
| LI Yi-guo, SHEN Jiong, LU Zhen-zhong.New approach to structure optimization of wavelet neural network[J].Control Theory and Technology,2003,20(3):329~331.[点击复制] |
|
| 一种新的小波神经网络结构优化设计方法 |
| New approach to structure optimization of wavelet neural network |
| 摘要点击 1561 全文点击 1591 投稿时间：2001-09-19 修订日期：2002-05-13 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/j.issn.1000-8152.2003.3.003 |
| 2003,20(3):329-331 |
| 中文关键词 粗糙集理论 小波神经网络 小波框架 属性依赖度 |
| 英文关键词 rough sets wavelet neural network wavelet frame dependency of attributes |
| 基金项目 |
|
| 中文摘要 |
| 针对基于框架的小波神经网络存在的网络冗余性较大的问题, 提出一种基于粗糙集理论的网络结构优化设计方法. 首先通过时频分析确定小波神经网络的初步构造; 在此基础上, 根据网络输出对隐层节点依赖度的大小去除冗余的隐层节点, 达到优化网络结构的目的, 仿真结果表明该方法是简单而有效的. |
| 英文摘要 |
| Based on the rough sets theory, an approach was presented to minimize the redundancy of structure existing in wavelet neural networks. The original structure of wavelet network is obtained through time-frequency analysis. Then the redundant nodes are eliminated in light of dependency between the output of the network and the nodes in the hidden layers to optimize the structure of wavelet network. Simulation results illustrate the proposed method is simple and effective. |