Title

獨立分量分析方法及其在地理與環境科學中的應用

Translated Titles

The Independent Component Analysis and Its Application in the Geographical and Environmental Fields

Authors

粟澤毅(Ze-Yi Su);陳阿林(A-Lin Chen)

Key Words

盲信號分離 ; ICA ; 負熵 ; 盲反褶積 ; 污染源 ; blind signal separate ; ICA ; negentropy ; blind deconvolution ; polluting source

PublicationName

重慶師範大學學報(自然科學版)

Volume or Term/Year and Month of Publication

22卷4期(2005 / 12 / 01)

Page #

16 - 20

Content Language

簡體中文

Chinese Abstract

綜述了獨立分量分析(ICA)問題的模型、原理,以及定義在基本ICA問題上的各種算法,包括信息最大化infomax算法、負熵最大化法、最大似然法等,並對各算法性能作了比較。並介紹了可獲得的ICA算法系統fastica和oolabss及其運行平臺,說明了ICA在地理與環境問題中的應用。

English Abstract

This paper summarizes the principle and the model of Independent Component Analysis, and various algorithms based on the basic ICA problem, including the HJ neural network, the infomax and maximum negentropy algorithm. The performances of the these methods are compared, gainable system of ICA algorithm on the web is introduced, the applications of ICA in the Geographical and Environmental fields are discribed and explained.

Topic Category 基礎與應用科學 > 基礎與應用科學綜合
生物農學 > 生物農學綜合
工程學 > 工程學綜合