Volume 15 (2024)
Volume 14 (2023)
Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Exploration
A Comparative Analysis of Artificial Neural Network (ANN) and Gene Expression Programming (GEP) Data-driven Models for Prospecting Porphyry Cu Mineralization; Case Study of Shahr-e-Babak Area, Kerman Province, SE Iran

Bashir Shokouh Saljoughi; Ardeshir Hezarkhani

Volume 15, Issue 2 , April 2024, , Pages 761-790

https://doi.org/10.22044/jme.2023.13852.2573

Abstract
  The porphyry Cu-mineralization potential area studied in this article is located in the southern section of the Central Iranian volcano–sedimentary complex, contains large number of mineral deposits, and occurrences that are currently facing a shortage of resources. Therefore, prospecting potential ...  Read More

Prediction of Acid Mine Drainage Generation Potential of A Copper Mine Tailings Using Gene Expression Programming-A Case Study

B. Jodeiri Shokri; H. Dehghani; R. Shamsi; F. Doulati Ardejani

Volume 11, Issue 4 , October 2020, , Pages 1127-1140

https://doi.org/10.22044/jme.2020.10031.1938

Abstract
  This work presents a quantitative predicting likely acid mine drainage (AMD) generation process throughout tailing particles resulting from the Sarcheshmeh copper mine in the south of Iran. Indeed, four predictive relationships for the remaining pyrite fraction, remaining chalcopyrite fraction, sulfate ...  Read More

Rock Mechanics
Development of a GEP model to assess CERCHAR abrasivity index of rocks based on geomechanical properties

M. H. Kadkhodaei; E. Ghasemi

Volume 10, Issue 4 , October 2019, , Pages 917-928

https://doi.org/10.22044/jme.2019.8141.1684

Abstract
  The CERCHAR abrasivity test is very popular for determination of rock abrasivity. An accurate estimation of the CERCHAR abrasivity index (CAI) is useful for excavation operation costs. This paper presents a model to calculate CAI based on the gene expression programming (GEP) approach. This model is ...  Read More

Mine Economic and Management
Forecasting copper price using gene expression programming

H. Dehghani

Volume 9, Issue 2 , April 2018, , Pages 349-360

https://doi.org/10.22044/jme.2017.6195.1435

Abstract
  Forecasting the prices of metals is important in many aspects of economics. Metal prices are also vital variables in financial models for revenue evaluation, which forms the basis of an effective payment regime using resource policymakers. According to the severe changes of the metal prices in the recent ...  Read More