Skip navigation
Skip navigation

Use of Noise to Augment Training Data: A Neural Network Method of Mineral-Potential Mapping in Regions of Limited Known Deposit Examples.

Brown, Warwick; Gedeon, Tamas (Tom); Groves, David I.

Description

One of the main factors that affects the performance ofMLPneural networks trained using the backpropagation algorithm in mineral-potential mapping is the paucity of deposit relative to barren training patterns. To overcome this problem, random noise is added to the original training patterns in order to create additional synthetic deposit training data. Experiments on the effect of the number of deposits available for training in the Kalgoorlie Terrane orogenic gold province show that both the...[Show more]

CollectionsANU Research Publications
Date published: 2003
Type: Journal article
URI: http://hdl.handle.net/1885/33124
Source: Natural Resources Research
DOI: 10.1023/A:1024218913435

Download

File Description SizeFormat Image
01_Brown_Use_of_Noise_to_Augment_2003.pdf325.95 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator