A Multidimensional Extended Neo-Fuzzy Neuron for Facial Expression Recognition | Zendy

Zhengbing Hu | Zendy; Yevgeniy Bodyanskiy | Zendy; na Kulishova | Zendy; Oleksii K. Tyshchenko | Zendy

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A Multidimensional Extended Neo-Fuzzy Neuron for Facial Expression Recognition

Author(s) -

Zhengbing Hu,

Yevgeniy Bodyanskiy,

na Kulishova,

Oleksii K. Tyshchenko

Publication year - 2017

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2017.09.04

Subject(s) - computer science , fuzzy logic , property (philosophy) , artificial intelligence , face (sociological concept) , image (mathematics) , pattern recognition (psychology) , facial recognition system , neuro fuzzy , facial expression , architecture , artificial neural network , fuzzy control system , art , social science , philosophy , epistemology , sociology , visual arts

An article introduces a modified architecture of the neo-fuzzy neuron, also known as a "multidimensional extended neo-fuzzy neuron" (MENFN), for the face recognition problems. This architecture is marked by enhanced approximating capabilities. A characteristic property of the MENFN is also its computational plainness in comparison with neuro-fuzzy systems and neural networks. These qualities of the proposed system make it effectual for solving the image recognition problems. An introduced MENFN’s adaptive learning algorithm allows solving classification problems in a real-time fashion.

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