Title: Some recent results in paraconsistent artificial neural networks

Authors: Jair Minoro Abe; Helder Frederico da Silva Lopes

Addresses: Paulista University, R. Dr. Bacelar, 1212, CEP 04026-002 São Paulo, SP, Brazil; Institute For Advanced Studies, University of Sao Paulo, Rua Praça do Relógio, 109, bloco K, 5º andar, Cidade Universitária, 05508-050, São Paulo, SP, Brazil ' School of Medicine, University of São Paulo, Avenida Dr. Arnaldo, 455, São Paulo CEP 01246-000, Brazil

Abstract: In this work, we present a short overview of some studies made with paraconsistent artificial neural network (PANN). PANN is a new type of artificial neural network (ANN) based on a new class of paraconsistent logics, namely paraconsistent annotated evidential logic Eτ, which is capable of manipulating concepts like impreciseness, inconsistency, and paracompleteness in a non-trivial manner.

Keywords: artificial neural networks; ANNs; PANNs; paraconsistent logics; annotated logics; cephalometric variables; Alzheimers disease; impreciseness; inconsistency; paracompleteness.

DOI: 10.1504/IJRIS.2013.058770

International Journal of Reasoning-based Intelligent Systems, 2013 Vol.5 No.4, pp.253 - 259

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 18 Jan 2014 *

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