Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Reference68 articles.
1. Abbaszadeh, M., Hezarkhani, A., & Soltani-Mohammadi, S. (2013). An SVM based machine learning method for the separation of alteration zones in Sungun porphyry copper deposit. Geochemistry, 73(4), 545–554.
2. Abbaszadeh, M., Hezarkhani, A., & Soltani-Mohammadi, S. (2015). Classification of alteration zones based on whole- rock geochemical data using support vector machine. Journal of the Geological Society of India, 85(4), 500–508.
3. Abbaszadeh, M., Hezarkhani, A., & Soltani-Mohammadi, S. (2016). Proposing drilling locations based on the 3D modeling results of fluid inclusion data using the support vector regression method. Journal of Geochemical Exploration, 165, 23–34.
4. Ancona, N., Maglietta, R., & Stella, E. (2006). Data representations and generalization error in kernel based learning machines. Pattern Recognition, 39(9), 1588–1603.
5. Asghari, O., & Hezarkhani, A. (2010). Investigations of alteration zones based on fluid inclusion microthermometry at Sungun porphyry copper deposit, Iran. Bulletin of the Mineral Research and Exploration, 140, 19–34.