Abstract
In this work we sketch how Paraconsistent Artificial Neural Network - PANN - can be useful in speech signals recognition by using phonic traces signals. The PANN is built based on Paraconsistent Annotated Logic Eτ and it allows us to manipulate uncertain, inconsistent and paracomplete information without trivialization. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Abe, J. M., Prado, J. C. A., & Nakamatsu, K. (2006). Paraconsistent artificial neural network: Applicability in computer analysis of speech productions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4252 LNAI-II, pp. 844–850). Springer Verlag. https://doi.org/10.1007/11893004_107
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