Paraconsistent Artificial Neural Networks and Pattern Recognition: Speech Production Recognition and Cephalometric Analysis

Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 29)

Abstract

In this expository work we sketch a theory of artificial neural network, based on a paraconsistent annotated evidential logic E(. Such theory, called Paraconsistent Artificial Neural Network - PANN - is built from the algorithm Para-analyzer and has as characteristics the capability of manipulating uncertainty, inconsistent and paracomplete concepts. Some applications are presented in speech production analysis and cephalometrich variables analysis.

Keywords

Artificial neural network paraconsistent logics annotated logics pattern recognition speech disfluence cephalometric variables 

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Copyright information

© Springer Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Graduate Program in Production EngineeringICET - Paulista UniversitySão PauloBrazil
  2. 2.Institute For Advanced StudiesUniversity of São PauloSão PauloBrazil
  3. 3.School of Human Science and Environment/H.S.E.University of HyogoHyogoJapan

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