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Use of Polynomial Neural Network for a mineral prospectivity analysis in a GIS environment

Iyer, Vanaja; Fung, Chun Che; Brown, Warwick; Gedeon, Tamas (Tom)


In the mining industry, identifying new geographic locations that are favourable for mineral exploration is very important. However definitive prediction of such locations is not an easy task. In the recent years artificial neural networks have received much attention in this area. This paper uses a class of neural networks known as the Polynomial Neural Network (PNN) to construct a model to correctly classify given location into deposit and barren areas. This model uses the Geographic...[Show more]

CollectionsANU Research Publications
Date published: 2004
Type: Conference paper
Source: Proceedings of the IEEE Region 10 Conference (TenCon 04)


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