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Guo, W.W., Li, M.M., Whymark, G. and Li, Z.X. (2009) Mutual Complement between Statistical and Neural Network Approaches for Rock Magnetism Data Analysis. Expert Systems with Applications, 36, 9678-9682. http://dx.doi.org/10.1016/j.eswa.2008.11.045

has been cited by the following article:

• TITLE: Magnetic Mineralogical Characteristics of Hamersley Iron Ores in Western Australia

  AUTHORS: William W. Guo

  KEYWORDS: Thermal Magnetic Analysis, Hamersley Iron Ores, Ferromagnetic Minerals, Hamersley Province

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.3 No.2, January 30, 2015

  ABSTRACT: This paper presents the research outcomes of a magnetic mineralogical study on Hamersley iron ores. Thermal magnetic analysis shows that typical high-grade martite-microplaty hematite or M- (mpl H) and martite-microplaty hematite-goethite or M-(mpl H)-g ores contain a small amount of original magnetite. A small amount of magnetite/maghemite and pyrite/pyrrhotite/siderite may exist in typical martite-goethite (M-G) and martite-ochreous goethite (M-oG) ores. In “the hardcap zone”, M-(H)-g ores contain a small amount of magnetite and maghemite. Compared with XRD, thermal magnetic analysis is not only more sensitive in identifying trace of magnetite contained in high-grade hematite ores, but also more diagnostic in identifying other unstable magnetic minerals like maghemite and pyrite/pyrrhotite/siderite co-existed in the ores.