In this work we sketch a new theory of artificial neural network, based on a paraconsistent annotated logic . Such theory, called Paraconsistent Artificial Neural Network – PANN – is built from the algorithm Para-analyzer and has as characteristics the capability of mainly manipulating uncertainty, inconsistent and paracomplete concepts. Some aspects such as capability of adaptation, velocity processing, and other useful characteristics make the PANN a promising theory.


Neural network paraconsistent logics annotated logics logical analyzer pattern recognition 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jair Minoro Abe
    • 1
    • 2
  1. 1.Institute For Advanced StudiesUniversity of São PauloSão PauloBrazil
  2. 2.Information Technology Dept.ICET – Paulista UniversitySão PauloBrazil

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