Proposing drilling locations based on the 3D modeling results of fluid inclusion data using the support vector regression method

Author:

Abbaszadeh Maliheh,Hezarkhani Ardeshir,Soltani-Mohammadi SaeedORCID

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology

Reference73 articles.

1. An SVM based machine learning method for the separation of alteration zones in Sungun porphyry copper deposit;Abbaszadeh;Chem. Erde-Geochem.,2013

2. Classification of alteration zones based on whole-rock geochemical data using support vector machine;Abbaszadeh;J. Geol. Soc. India,2015

3. Stable isotopes (O, H, and S) in the Muteh gold deposit, Golpaygan area, Iran;Abdollahi;Nat. Resour. Res.,2009

4. On the capability of support vector machines to classify lithology from well logs;Al-Anazi;Nat. Resour. Res.,2010

5. Applying discriminant analysis to separate the alteration zones within the Sungun porphyry copper deposit;Asghari;J. Appl. Sci.,2008

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