Use of Neural Networks for Ore and Waste classification of mining deposits based on geophysical data-Reference-Cited by-同舟云学术

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Use of Neural Networks for Ore and Waste classification of mining deposits based on geophysical data

Published:2023-11-23 Issue: Volume: Page:1-5
ISSN:
Container-title:Proceedings of the 5th International Conference on Information Management & Machine Intelligence
language:
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Author:

Nagpal Gaurav¹^ORCID,Nagpal Ankita¹^ORCID,Jasti Naga Vamsi Krishna²^ORCID,Inani Sarveshwar³^ORCID

Affiliation:

1. Department of Management, BITS Pilani, India

2. Core Engineering Department, BITS Pilani, India

3. Jindal Global Business School, O.P. Jindal Global University, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647444.3647920

Reference12 articles.

1. Bayesian network classifiers for mineral potential mapping

2. Support vector machine for multi-classification of mineral prospectivity areas

3. Mineral prospectivity mapping over the Gomoa Area of Ghana's southern Kibi-Winneba belt using support vector machine and naive bayes

4. Performance of predictive supervised classification models of trace elements in magnetite for mineral exploration

5. Liu ZN. Deng YY. Tian R. A new method for estimating ore grade based on sample length weighting. Sci Rep 13 6208.

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