Constrained Fast Independent Component Analysis Applied to Mineral Resources Prediction
Mineral resources are one of the most important factors related to society development. When a novel method, Independent Component Analysis (ICA), which is a statistical method for transforming an observed multidimensional random vector into components that are as independent from each other as possible, is firstly applied to mineral resources prediction, the indeterminacy will let the prediction be difficult. Factor Analysis is introduced to eliminate indeterminacy. In this paper, fast ICA and factor analysis is applied to analyze samples hi gold deposit area of Guangdong province in China. The result shows that some independent elements accord with the practical distribution better than conventional methods.
Ting Zhang Xianchuan Yu Liwen Liu Xiaojian Yu Huijuan Leng
College of Information Sci. & Tech., Beijing Normal University, Beijing 100875, China No. 719 Geological Group of Guangdong Bureau of Geology and Mineral Resources, Zhaoqing 526020, Chin
国际会议
The 12th Conference of the International Association for Mathematical Geology(第12届国际数学地质大会)
北京
英文
535-540
2007-08-26（万方平台首次上网日期，不代表论文的发表时间）