Paraconsistent artificial neural networks and EEG analysis Online publication date: Fri, 02-Sep-2011
by Jair Minoro Abe, Helder Frederico da Silva Lopes, Renato Anghinah
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 3, No. 2, 2011
Abstract: The aim of this paper is to present a study of brain EEG waves through a new ANN (artificial neural networks) based on Paraconsistent Annotated Evidential Logic, Eτ, which is capable of manipulating concepts like impreciseness, inconsistency, and paracompleteness in a nontrivial manner. As an application, the Paraconsistent Artificial Neural Network (PANN) proved capable of recognising children with Dyslexia with Kappa index at a rate of 80%.
Online publication date: Fri, 02-Sep-2011
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