Paraconsistent artificial neural networks and EEG analysis. (6th September 2011)

• Record Type: Journal Article
• Authors: Abe, Jair Minoro; Lopes, Helder Frederico da Silva; Anghinah, Renato
• Is Part Of: International journal of reasoning-based intelligent systems. Volume 3:Number 2(2011)
• Page Start: 115
• Page End: 123
• Publication Date: 2011-09-06
• Subjects: artificial neural networks -- paraconsistent ANNs -- paraconsistent logic -- annotated logic -- pattern recognition -- child dyslexia -- brain EEG analysis -- electroencephalographs -- evidential logic -- brain electrical activity -- brainwaves -- children; Artificial intelligence -- Periodicals; Reasoning -- Periodicals; 006.3
• Languages: English
• ISSNs: 1755-0556

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%.