Paraconsistent neurocomputing and biological signals analysis

Abstract

In this work, we show two applications of Paraconsistent Artificial Neural Network (PANN) for signal analysis working with signal data as a numeric vector and analyzing its morphology, comparing the signal data with a reference database and their application as support for electroencephalogram exams and HIV genotyping.