Predictive Mapping of the Nodule Abundance and Mineral Resource Estimation in the Clarion-Clipperton Zone Using Artificial Neural Networks and Classical Geostatistical Methods-Reference-Cited by-同舟云学术

Predictive Mapping of the Nodule Abundance and Mineral Resource Estimation in the Clarion-Clipperton Zone Using Artificial Neural Networks and Classical Geostatistical Methods

Published:2017 Issue: Volume: Page:189-212
ISSN:
Container-title:Deep-Sea Mining
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Author:

Knobloch Andreas,Kuhn Thomas,Rühlemann Carsten,Hertwig Thomas,Zeissler Karl-Otto,Noack Silke

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-52557-0_6

Reference23 articles.

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4. Benndorf J (2015) Vorratsklassifikation nach internationalen Standards–Anforderungen und Modellansätze in der Lagerstättenbearbeitung. Markscheidewesen 122(2–3):6–14

5. Bishop MC (2008) Neural networks for pattern recognition. Oxford University Press, Oxford

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