Work place: Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
E-mail: kunonna@mail.ru
Website:
Research Interests: Computer systems and computational processes, Computational Learning Theory, Systems Architecture, Image Manipulation, Image Processing
Biography
Nonna Ye. Kulishova graduated from Kharkiv National University of Radio Electronics in 1989. She got her PhD in 1998. She is the professor of Media Systems and Technologies Department at KhNURE. Her current research interests are Neuro-Fuzzy Systems; Machine Learning, Image and Video Processing, Color Management.
By Zhengbing Hu Yevgeniy V. Bodyanskiy Nonna Ye. Kulishova Oleksii K. Tyshchenko
DOI: https://doi.org/10.5815/ijisa.2017.09.04, Pub. Date: 8 Sep. 2017
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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