A Multidimensional Extended Neo-Fuzzy Neuron for Facial Expression Recognition

A Multidimensional Extended Neo-Fuzzy Neuron for Facial Expression Recognition

Автор: Zhengbing Hu, Yevgeniy V. Bodyanskiy, Nonna Ye. Kulishova, Oleksii K. Tyshchenko

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 9 vol.9, 2017 года.

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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.

Computational Intelligence, Facial Expression, Image Recognition, Extended Neo-Fuzzy Neuron, Machine Learning, Data Stream

Короткий адрес: https://sciup.org/15010964

IDR: 15010964

Список литературы A Multidimensional Extended Neo-Fuzzy Neuron for Facial Expression Recognition

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