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    Estimation of Iron Ore Price in reference to Major Economic Indices using Artificial Neural Network

    Kim Y 2024 Public.pdf (1.414Mb)
    Access Status
    Open access
    Authors
    Kim, Yoochan
    Date
    2024
    Supervisor
    Apurna Ghosh
    Erkan Topal
    Type
    Thesis
    Award
    MPhil
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    WASM: Minerals, Energy and Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/95589
    Collection
    • Curtin Theses
    Abstract

    Iron ore is an essential commodity in human civilization where research its prediction method was limited to date. The Granger causality test and VECM proved that there is a bi-directional influence between the iron ore price and the oil, copper, and Australian coal prices. Linear Levenberg-Marquardt method predicted with highest accuracy of 5.92% difference between prediction and actual for 1 month ahead, 9.48% for 2 months ahead, and 11.21% for 3 months ahead respectively.

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