Paraconsistent Artificial Neural Networks and EEG Analysis
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Springer
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Abstract
The aim of this paper is to present a study of brain EEG waves through a new ANN based on Paraconsistent Annotated Evidential Logic E tau which is capable of manipulating concepts like impreciseness, inconsistency, and paracompleteness in a nontrivial manner. As application, the Paraconsistent Artificial Neural Network - PANN showed capable of recognizing children with Dyslexia with Kappa index at a rate of 80%.
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Keywords
artificial neural network, paraconsistent logics, annotated logics, pattern recognition, Dyslexia
Language
English
Citation
Knowledge-based And Intelligent Information And Engineering Systems, Pt Iii. Berlin: Springer-verlag Berlin, v. 6278, p. 164-+, 2010.
