Paraconsistent artificial neural networks and AD analysis: improvements

Authors:
Jair Minoro Abe;Helder Frederico S. Lopes;Kazumi Nakamatsu
Affiliations:
Graduate Program in Production Engineering, ICET - Paulista University, São Paulo, SP, Brazil, Institute For Advanced Studies, University of São Paulo, Brazil;Institute For Advanced Studies, University of São Paulo, Brazil;School of Human Science and Environment/H.S.E., University of Hyogo, Japan
Venue:
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Year:
2012

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Uncertainty treatment using paraconsistent logic: introducing paraconsistent artificial neural networks

Uncertainty treatment using paraconsistent logic: introducing paraconsistent artificial neural networks

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Abstract

This work is a sequel of our study of Alzheimer Disease --- AD auxiliary diagnosis through EEG findings, with the aid of Paraconsistent Artificial Neural Network --- PANN [3], [6], [7] through testing a new architecture of PANN whose expert systems are based on the profile of the EEG examination. This profile consists of the quantification of the waves grouped in clinically normal frequency bands (delta, theta, alpha and beta) plus the relationship alpha / theta.