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.
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Abe, J.M., da Silva Lopes, H.F., Anghinah, R. (2015). Paraconsistent Neurocomputing and Biological Signals Analysis. In: Abe, J. (eds) Paraconsistent Intelligent-Based Systems. Intelligent Systems Reference Library, vol 94. Springer, Cham. https://doi.org/10.1007/978-3-319-19722-7_11
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DOI: https://doi.org/10.1007/978-3-319-19722-7_11
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