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- W156788400 abstract "A multilayer perceptron (MLP) neural network is used to combine multi-source exploration data in a Geographic Information System (GIS) database and produce a mineral prospectivity map for gold deposits in the Tenterfield 1:100,000 sheet area, NSW, Australia. Statistical and probability measures of map quality indicate that the neural network method performs better than the empirical weights-of-evidence (Bayesian probability) and conceptual fuzzy logic methods in the generation of the mineral prospectivity map. The neural network has several important advantages over existing methods, including the ability to respond to critical combinations of parameters, rather than automatically increasing the prospectivity estimate in response to every favourable parameter." @default.
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- W156788400 date "2003-01-01" @default.
- W156788400 modified "2023-10-16" @default.
- W156788400 title "An Artificial Neural Network Method for Mineral Prospectivity Mapping: A Comparison with Fuzzy Logic and Bayesian Probability Methods" @default.
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- W156788400 doi "https://doi.org/10.1007/978-94-017-0271-3_12" @default.
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