控制理论与应用2002，Vol.19Issue(3)：381-386,6.
基于张量积结构的多维小波网络
Multidimensional Wavelet Networks Based on a Tensor Product Structure
万建 1徐德民 1贺昱曜1
作者信息
- 1. 西北工业大学航海工程学院,西安,710072
- 折叠
摘要
Abstract
Based on the wavelet frame theory, a novel wavelet network for funcfion learning in multidimensional spaces is tion of each dimension in the output layer instead of adding them as usual. Thus a multidimensional wavelet frame will be generated automatically for approximation, and function learning can be realized through online or off-line adjustment of corresponding weight coefficients. Design methods for one-dimensional wavelet networks can also be generalized straighfforwardly to multidimensional cases by using the tensor product structure. In the experiments, the multidimensional wavelet network performswell.关键词
小波框架/多维小波/张量积结构/函数逼近Key words
wavelet frames/multidimensional wavelets/tensor product structure/function approximation分类
信息技术与安全科学引用本文复制引用
万建,徐德民,贺昱曜..基于张量积结构的多维小波网络[J].控制理论与应用,2002,19(3):381-386,6.
