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International Journal of Mining, Reclamation and Environment Volume 21, 2007 - Issue 4
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Original Articles

Evaluation of artificial neural networks and kriging for the prediction of arsenic in Alaskan bedrock-derived stream sediments using gold concentration data

D. Misra College of Engineering and Mines, University of Alaska Fairbanks, PO Box 755800, Fairbanks, AK, 99775, USACorrespondence[email protected]
,
B. Samanta College of Engineering and Mines, University of Alaska Fairbanks, PO Box 755800, Fairbanks, AK, 99775, USA
,
S. Dutta College of Engineering and Mines, University of Alaska Fairbanks, PO Box 755800, Fairbanks, AK, 99775, USA
&
S. Bandopadhyay College of Engineering and Mines, University of Alaska Fairbanks, PO Box 755800, Fairbanks, AK, 99775, USA
Pages 282-294 | Published online: 25 Jun 2008

Citations (9)

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Umit Emrah Kaplan, Yasin Dagasan & Erkan Topal. (2021) Mineral grade estimation using gradient boosting regression trees. International Journal of Mining, Reclamation and Environment 35:10, pages 728-742.
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Articles from other publishers (8)

Mostafa Keshtkar, Naghmeh Mobarghaee, Romina Sayahnia & Zahra Asadolahi. (2023) Landscape ecological security response to urban growth in Southern Zagros biome, Iran. Ecological Indicators 154, pages 110577.
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M. M. Zaki, Shaojie Chen, Jicheng Zhang, Fan Feng, Liu Qi, Mohamed A. Mahdy & Linlin Jin. (2023) Optimized Weighted Ensemble Approach for Enhancing Gold Mineralization Prediction. Applied Sciences 13:13, pages 7622.
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Fareed Majeed, Yao Yevenyo Ziggah, Charles Kusi-Manu, Bemah Ibrahim & Isaac Ahenkorah. (2022) A novel artificial intelligence approach for regolith geochemical grade prediction using multivariate adaptive regression splines. Geosystems and Geoenvironment 1:2, pages 100038.
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Umit Emrah Kaplan & Erkan Topal. (2020) A New Ore Grade Estimation Using Combine Machine Learning Algorithms. Minerals 10:10, pages 847.
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Agam Das Goswami, M. K. Mishra & Dipti Patra. (2017) Investigation of general regression neural network architecture for grade estimation of an Indian iron ore deposit. Arabian Journal of Geosciences 10:4.
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Agam Das Goswami, Manoj Kumar Mishra & Dipti Patra. (2016) Adapting pattern recognition approach for uncertainty assessment in the geologic resource estimation for Indian iron ore mines. Adapting pattern recognition approach for uncertainty assessment in the geologic resource estimation for Indian iron ore mines.
Michael J. Friedel & Fabio Iwashita. (2013) Hybrid modeling of spatial continuity for application to numerical inverse problems. Environmental Modelling & Software 43, pages 60-79.
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Thomas Oommen, Debasmita Misra, Anupma Prakash, Sukumar Bandopadhyay, Sathy Naidu & John J. Kelley. (2011) Multiple Regressive Pattern Recognition Technique: An Adapted Approach for Improved Georesource Estimation. Natural Resources Research 20:1, pages 11-24.
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