Calculating amphibole formula from electron microprobe analysis data using a machine learning method based on principal components regression-Reference-Cited by-同舟云学术

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Calculating amphibole formula from electron microprobe analysis data using a machine learning method based on principal components regression

Published:2020-06 Issue: Volume:362-363 Page:105469
ISSN:0024-4937
Container-title:Lithos
language:en
Short-container-title:Lithos

Author:

Li Xiaoyan,Zhang Chao,Behrens Harald,Holtz Francois

Funder

German Research Foundation

DFG

National Natural Science Foundation of China

NSFC

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Geology

Reference63 articles.

1. Principal component analysis;Abdi;Wiley Interdisc. Rev.,2010

2. Principal component analysis of compositional data;Aitchison;Biometrika,1983

3. The statistical analysis of geochemical compositions;Aitchison;J. Int. Assoc. Math. Geol.,1984

4. Potassic-ferropargasite, a new member of the amphibole group, from Kabutoichiba, Mie Prefecture, Central Japan;Banno;J. Mineral. Petrol. Sci.,2009

5. A thermodynamic model for Ca–Na clinoamphiboles in Na2O–CaO–FeO–MgO–Al2O3–SiO2–H2O–O for petrological calculations;Dale;J. Metamorph. Geol.,2005

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