Journal of Mining and Environment

Author = A. Hezarkhani

Number of Articles: 6

1		Delineation of alteration zones based on kriging, artificial neural networks, and concentration–volume fractal modelings in hypogene zone of Miduk porphyry copper deposit, SE Iran
	Articles in Press, Accepted Manuscript , Available Online from 26 July 2018
	Omid Gholampour; Ardeshir Hezarkhani; Abbas Maghsoudi; Majid Mousavi
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2		Identification of geochemical anomalies associated with Cu mineralization by applying spectrum-area multi-fractal and wavelet neural network methods in Shahr-e-Babak mining area, Kerman, Iran
	Articles in Press, Accepted Manuscript , Available Online from 24 July 2018
	Bashir Shokouh Saljoughi; Ardeshir Hezarkhani
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3		Application of fractal modeling to delineate alteration zones and lithological units in Masjed-Daghi Cu-Au porphyry deposit, NW Iran
	Articles in Press, Accepted Manuscript , Available Online from 01 August 2018
	Hanie Nikoogoftar Safa; Ardeshir Hezarkhani
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4		A comparison between knowledge-driven fuzzy and data-driven artificial neural network approaches for prospecting porphyry Cu mineralization; a case study of Shahr-e-Babak area, Kerman Province, SE Iran
	Volume 9, Issue 4, Autumn 2018, Page 917-940
	B. Shokouh Saljoughi; A. Hezarkhani; E. Farahbakhsh
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5		A comparative study of fractal models and U-statistic method to identify geochemical anomalies; case study of Avanj porphyry system, Central Iran
	Volume 9, Issue 1, Winter 2018, Page 209-227
	B. Shokouh Saljoughi; A. Hezarkhani; E. Farahbakhsh
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6		Selection of new exploration targets using lithogeochemical data obtained for Taknar deposit located in NE of Iran
	Volume 6, Issue 1, Winter 2015, Page 11-20
	Kh. Maroufi Naghadehi; A. Hezarkhani; K. Seifpanahi Shabani
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Journal of Mining and Environment (JME) - Articles List

Delineation of alteration zones based on kriging, artificial neural networks, and concentration–volume fractal modelings in hypogene zone of Miduk porphyry copper deposit, SE Iran

Identification of geochemical anomalies associated with Cu mineralization by applying spectrum-area multi-fractal and wavelet neural network methods in Shahr-e-Babak mining area, Kerman, Iran

Application of fractal modeling to delineate alteration zones and lithological units in Masjed-Daghi Cu-Au porphyry deposit, NW Iran

A comparison between knowledge-driven fuzzy and data-driven artificial neural network approaches for prospecting porphyry Cu mineralization; a case study of Shahr-e-Babak area, Kerman Province, SE Iran

A comparative study of fractal models and U-statistic method to identify geochemical anomalies; case study of Avanj porphyry system, Central Iran

Selection of new exploration targets using lithogeochemical data obtained for Taknar deposit located in NE of Iran