Classification of alcohol abusers: an intelligent approach

@article{Kanna2005ClassificationOA,
  title={Classification of alcohol abusers: an intelligent approach},
  author={P. Sharmila Kanna and Ramaswamy Palaniappan and K. V. R. Ravi},
  journal={Third International Conference on Information Technology and Applications (ICITA'05)},
  year={2005},
  volume={1},
  pages={470-474 vol.1}
}
In this paper we propose a novel method to classify alcohol abusers. The method described efficiently estimated total power in gamma band spectral power (GBSP) of multi-channel visual evoked potential (VEP) signals in the time domain, circumventing power spectrum computation. Then, the total power extracted are used as features to classify alcohol abusers from control subjects using multilayer perceptron-back propogation (MLP-BP) neural network classifier. As a comparison study the total power… CONTINUE READING

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