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    Unplanned dilution and ore-loss optimisation in underground mines via cooperative neuro-fuzzy network

    204927_Jang 2014.pdf (5.421Mb)
    Access Status
    Open access
    Authors
    Jang, Hyong Doo
    Date
    2014
    Supervisor
    Ph.D
    Type
    Thesis
    Award
    PhD
    
    Metadata
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    School
    Western Australian School of Mines
    URI
    http://hdl.handle.net/20.500.11937/997
    Collection
    • Curtin Theses
    Abstract

    The aim of study is to establish a proper unplanned dilution and ore-loss (UB: uneven break) management system. To achieve the goal, UB prediction and consultation systems were established using artificial neural network (ANN) and fuzzy expert system (FES). Attempts have been made to illuminate the UB mechanism by scrutinising the contributions of potential UB influence factors. Ultimately, the proposed UB prediction and consultation systems were unified as a cooperative neuro fuzzy system.

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