Paraconsistent artificial neural networks: An introduction
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Data
2004-01-01
Autores
Abe, J. M.
Negoita, M. G.
Howlett, R. J.
Jain, L. C.
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ISSN da Revista
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Editor
Springer
Resumo
In this work we sketch a new theory of artificial neural network, based on a paraconsistent annotated logic Etau. 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.
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Palavras-chave
neural network, paraconsistent logics, annotated logics, logical analyzer, pattern recognition
Como citar
Knowledge-based Intelligent Information And Engineering Systems, Pt 2, Proceedings. Berlin: Springer-verlag Berlin, v. 3214, p. 942-948, 2004.