Extraction of Geochemical Multi-Element Associations Based on Ica
详细信息
- 责任者：Wang Wei (Key Laboratory of Geomathmatics of Sichuan Province ; Chengdu University of Technology ; Chengdu 610059 ; China) ; Zhou Zhongli
- 刊名：Computing Techniques for Geophysical and Geochemical Exploration
- 出版年：2012
- 卷期：34(2)
- 关键词：成矿元素 ; ore-forming elements ; 非线性 ; non-linear
- 页码：p.213-216
- 图表：4 illus., 1 table, 9 refs.
- 分类号：1000
- 出版序号：20130228
- issnNo：ISSN1001-1749
- isbnNo：CN51-1242/P
摘要
Geochemical survey data is non-linear and randomness.Although the traditional method of identifying geochemical element associations anomaly takes the randomness into account,it ignores the non-linear of original data.Independent Component Analysis,however,not only requires second-order statistics of each component to satisfy Non-Gaussian distribution,but need to high-order statistics are non-correlation.It seems that this feature gives ICA a big advantage over the traditional one for digging high correlation information. This paper will launch the analysis and evaluation of multi-element association anomaly by an area in Tibet 1∶10 000 metrical soil data.