Lithology Recognition by Neural Network Ensembles

@inproceedings{Santos2002LithologyRB,
  title={Lithology Recognition by Neural Network Ensembles},
  author={R. V. Santos and F. Artola and S. Fontoura and Marley M. B. R. Vellasco},
  booktitle={SBIA},
  year={2002}
}
This paper investigates the advantages of methods based on Neural Network Classifier Ensembles - sets of neural networks working in a cooperative way to achieve a consensus decision- in the solution of the lithology recognition problem, a common task found in the petroleum exploration field. Classifier ensembles (Committees) are developed here in two stages: first, by applying procedures for creating complementary networks, i.e., networks that are individually accurate but cause distinct… Expand
Neural Net Ensembles for Lithology Recognition
Collaborative multi-agent rock facies classification from wireline well log data

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