Abstract
In this paper we present a study of EEG by using the Paraconsistent Artificial Neural Network – PANN that can manipulate imprecise, contradictory and paracomplete data. Some improvements for EEG analysis are discussed. Experimental results concerning Alzheimer Disease made are also reported.
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Abe, J.M., Lopes, H.F.S., Nakamatsu, K. (2008). Improving EEG Analysis by Using Paraconsistent Artificial Neural Networks. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_58
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DOI: https://doi.org/10.1007/978-3-540-85565-1_58
Publisher Name: Springer, Berlin, Heidelberg
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