Hybrid self-adaptive learning based particle swarm optimization and support vector regression model for grade estimation-Reference-Cited by-同舟云学术

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Hybrid self-adaptive learning based particle swarm optimization and support vector regression model for grade estimation

Published:2013-10 Issue: Volume:118 Page:179-190
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Xiao-li,Li Li-hong,Zhang Bao-lin,Guo Qian-jin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference40 articles.

1. Traditional and new ways to handle uncertainty in geology;Bardossy;Nat. Resour. Res.,2001

2. A new method of resource estimation for bauxite and other solid mineral deposits;Szabo;J. Hung. Geomath.,2003

3. Geostatistics for Natural Resources Evaluation;Goovaerts,1997

4. Evaluation of Uncertainties and Risks in Geology;Bardossy,2004

5. Geostatistical Ore Reserve Estimation;David,1977

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