International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 9, No. 9, 8 Sep. 2017
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A Multidimensional Extended Neo-Fuzzy Neuron for Facial Expression Recognition
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Author(s)
Zhengbing Hu
1,*
Yevgeniy V. Bodyanskiy
2
Nonna Ye. Kulishova
2
Oleksii K. Tyshchenko
2
Index Terms
Computational Intelligence, Facial Expression, Image Recognition, Extended Neo-Fuzzy Neuron, Machine Learning, Data Stream
Abstract
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.
Cite This Paper
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Nonna Ye. Kulishova, Oleksii K. Tyshchenko, "A Multidimensional Extended Neo-Fuzzy Neuron for Facial Expression Recognition", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.9, pp.29-36, 2017. DOI:10.5815/ijisa.2017.09.04
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