Re-examination of Itakpe iron ore deposit for reserve estimation using geostatistics and artificial neural network techniques

Author:

Afeni Thomas Busuyi,Lawal Abiodun Ismail,Adeyemi Rasaq Ayodele

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference48 articles.

1. Akeju VO, Afeni TB (2015) Investigation of the spatial variability in Oyo-Iwa limestone deposit for quality control. J Eng Sci Technol 10(8):1065–1085

2. Al-Alawi SM, Tawo EE (1999) A comparison between artificial neural network and a geostatistical technique in the estimation of regionalized variables. Eng J Univ Qatar 12:125–149

3. Asghari O, Hezarkhani A (2006) Geostatistical modeling and reserve estimation of Choghart iron ore deposit through ordinary kriging method. In Proceedings of the 5th International Scientific Conference – SGEM pp. 631-642

4. Asghari O, Fatemeh S, Hassan BA (2009) The comparison between sequential Gaussian simulation (SGS) of choghart ore deposit and geostatistical estimation through ordinary kriging. Aust J Basic Appl Sci 3(1):330–341

5. Badel M, Angorani S, Panah MS (2011) The application of median indicator kriging and neural network in modeling mixed population in an iron ore deposit. Comput Geosci 37(4):530–540

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