• Corpus ID: 15293451

NEURAL NETWORKS VERSUS STATISTICS : A COMPARING STUDY OF THEIR CLASSIFICATION PERFORMANCE ON WELL LOG DATA

@inproceedings{Free1997NEURALNV,
  title={NEURAL NETWORKS VERSUS STATISTICS : A COMPARING STUDY OF THEIR CLASSIFICATION PERFORMANCE ON WELL LOG DATA},
  author={Agnes Schumann Free},
  year={1997}
}
Recently, Neural Networks became a popular method in geosciences in the context of pattern recognition problems. They can be used for classification of well logs, for image processing, for anomaly detection and similar problems. In the past, such problems were mainly solved by statistical approaches. However parametric statistical classification methods suffer from strong assumptions and nonparametric one’s are unsuitable for small data sets. The hypothesis is, that Neural Networks can provide… 
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References

SHOWING 1-5 OF 5 REFERENCES
Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
This chapter reproduces the English translation by B. Seckler of the paper by Vapnik and Chervonenkis in which they gave proofs for the innovative results they had obtained in a draft form in July
Connectionist speech recognition
TLDR
Speech Reference EPFL-CONF-82487 describes the “politics of language” in the developing world and some of the challenges faced by speech interpreters and interpreters in the rapidly changing environment.
Ya .On the uniform convergence of relative frequencies of events to their probabilities
  • Theor . Prob . Appl .
  • 1982
On the uniform convergence of relative frequencies of events to their probabilities, Theor
  • Prob. Appl.,
  • 1971