Volume 34 (2024)
Volume 33 (2023)
Volume 32 (2022)
Volume 31 (2021)
Volume 30 (2020)
Volume 29 (2020)
Volume 28 (2019)
Volume 27 (2018)
Volume 26 (2017)
Volume 25 (2016)
Volume 24 (2015)
Volume 23 (2014)
Volume 22 (2013)
Volume 21 (2012)
Volume 20 (2011)
Volume 19 (2010)
Volume 18 (2009)
Volume 17 (2008)
Volume 16 (2007)
Economic Geology
Comparison of geometric average, union score and fuzzy operations methods for geochemical evidential mapping

Meysam Nikfarjam; Ardeshir Hezarkhani

Volume 30, Issue 117 , December 2020, , Pages 17-24

https://doi.org/10.22071/gsj.2020.177798.1634

Abstract
  In this research, we have used different integration methods for creating the geochemical evidential map that is one of the most important layers in mineral potential mapping. The Study area (Varzaghan 1:100,000 sheet) is located in East Azarbaijan province and Ahar-Arasbaran metallogenic zone. This ...  Read More

Exploration and Mining
Potassic and Phyllic Alteration Zoning Based on the Results of 3D Modeling of Fluid Inclusion Data by Artificial Neural Networks

Maliheh Abbaszadeh; Ardeshir Hezarkhani; Saeed Soltani-Mohammadi

Volume 29, Issue 113 , November 2019, , Pages 115-122

https://doi.org/10.22071/gsj.2018.104239.1301

Abstract
  In recent years, economic geology studies have become very popular method in mineral exploration studies. Modeling fluid inclusion data is one of the common studies in economic geology. In this research artificial neural networks method, as one of the machine learning algorithms, is used for three-dimensional ...  Read More

Economic Geology
Application of multifractal methods in stream sediment sampling to identifying Cu and Mo anomalies in Varzaghan 1:100,000 Sheet

Meysam Nikfarjam; Ardeshir Hezarkhani; Kaveh Pazand

Volume 28, Issue 111 , May 2019, , Pages 75-82

https://doi.org/10.22071/gsj.2018.88813.1143

Abstract
  The study area (Varzaghan 1:100,000 Sheet) is located in eastern Azarbaijan province and Ahar-Arasbaran metallogenic zone. The magmatism in this area is happened widespreadly that leads to several important deposits like Sungun world class deposit. According to the importance of this region from Cu-Mo ...  Read More

Presentation a Method for Optimization of Neural Network for Ore Grade Estimation Based on the Porphyry Copper System of Sonajil-Ahar

P. Tahmasbi; A. Hezarkhani

Volume 21, Issue 81 , December 2011, , Pages 31-36

https://doi.org/10.22071/gsj.2011.54200

Abstract
  In the present research, comparative evaluation of various learning algorithms in neural network modeling was performed for ore grade estimation in Sonjail porphyry copper deposit. The main goal of the following investigation would be optimizing the network architecture and to present an architectural ...  Read More

Hydrothermal Alteration Mapping Using ASTER Imagesin the Rabor Area, Kerman

M. Abbaszadeh; Ardeshir Hezarkhani

Volume 20, Issue 78 , December 2011, , Pages 123-128

https://doi.org/10.22071/gsj.2010.54624

Abstract
  Rabor area is located in 160 km south of Kerman city and 40 km east of Baft. There is some evidence illustrating some porphyry copper type mineralization, co-operated with tens of within Urumieh-Dokhtar volcanic belt stocks. Identification of the high potential localities and mapping the porphyry copper ...  Read More