Neural Net Ensembles for Lithology Recognition

@inproceedings{Santos2003NeuralNE,
  title={Neural Net Ensembles for Lithology Recognition},
  author={R. V. Santos and Marley M. B. R. Vellasco and F. Artola and S. Fontoura},
  booktitle={Multiple Classifier Systems},
  year={2003}
}
Lithology recognition is a common task found in the petroleum exploration field. Roughly speaking, it is a problem of classifying rock types, based on core samples obtained from well drilling programs. In this paper we evaluate the performance of different ensemble systems, specially developed for the task of lithology recognition, based on well data from a major petroleum company. Among the procedures for creating committee members we applied Driven Pattern Replication (DPR), Bootstrap and ARC… Expand
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