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Uncertainty in mineral prospectivity prediction

Kraipeerapun, Pawalai; Fung, Chun Che; Brown, Warwick; Wong, Kok Wai; Gedeon, Tamas (Tom)


This paper presents an approach to the prediction of mineral prospectivity that provides an assessment of uncertainty. Two feedforward backpropagation neural networks are used for the prediction. One network is used to predict degrees of favourability for deposit and another one is used to predict degrees of likelihood for barren, which is opposite to deposit. These two types of values are represented in the form of truth-membership and false-membership, respectively. Uncertainties of type...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Book chapter
Book Title: Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong October 3-6 2006, Proceedings, Part II


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