An Intelligent Diagnostic System for Evaluating Operator’s Emotions: EEG Processing Toolkit

The article describes a soft computing optimizer of fuzzy controllers. The optimizer is structurally implemented on the basis of three genetic algorithms. From the point of view of the theory of artificial intelligence and fuzzy systems, the soft computing optimizer functions as a universal approxim...

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Veröffentlicht in:Biomedical engineering 2020-07, Vol.54 (2), p.145-148
Hauptverfasser: Ulyanov, S. V., Mamaeva, А. A., Shevchenko, A. V.
Format: Artikel
Sprache:eng
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Zusammenfassung:The article describes a soft computing optimizer of fuzzy controllers. The optimizer is structurally implemented on the basis of three genetic algorithms. From the point of view of the theory of artificial intelligence and fuzzy systems, the soft computing optimizer functions as a universal approximator of the training signal operating with the required accuracy; from the point of view of the theory of intelligent management systems, the approximator provides deep machine learning.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-020-09992-4