Model averaging for identification of geochemical anomalies linked to mineralization

Author:

Wang Jian,Zuo Renguang

Funder

National Natural Science Foundation of China

Department of Science and Technology of Sichuan Province

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology,Geology

Reference107 articles.

1. Delineation of mineralization zones in porphyry Cu deposits by fractal concentration–volume modeling;Afzal;Journal of Geochemical exploration,2011

2. Separation of geochemical anomalies using factor analysis and concentration-number (CN) fractal modeling based on stream sediments data in Esfordi 1: 100000 sheet, Central Iran;Afzal;Iranian Journal of Earth Sciences,2013

3. Delineation of geochemical anomalies based on stream sediment data utilizing fractal modeling and staged factor analysis;Afzal;Journal of African Earth Sciences,2016

4. Afzal, P., Farhadi, S., Boveiri Konari, M., Shamseddin Meigooni, M., Daneshvar Saein, L., 2022. Geochemical Anomaly Detection in the Irankuh District Using Hybrid Machine Learning Technique and Fractal Modeling. Geopersia, 10.22059/GEOPE.2022.336072.648644.

5. Evaluation of Uncertainties and Risks in Geology,2004

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