Multilayer GMDH-neuro-fuzzy network based on extended neo-fuzzy neurons and its application in online facial expression recognition




Group Method of Data Handling, extended neo-fuzzy neuron, online image recognition, facial expression recognition


Real-time image recognition is required in many important practical problems. Interaction with users in online mode requires flexibility and adaptability from applications. The Group Method of Data Handling (GMDH) allows changing the model structure and adjusting the system architecture to the characteristics of each task under consideration. Moreover, the approximating properties of neo-fuzzy neurons used as elements of the system provide the high recognition accuracy under conditions of short data samples. This paper proposes a multilayer GMDH-neuro-fuzzy network based on extended neo-fuzzy neurons. The learning algorithm has filtering and tracking properties, guarantees the required speed important for real-time applications. The effectiveness of the proposed system is confirmed for the human emotions recognition.

Author Biographies

Yevgeniy V. Bodyanskiy, Kharkiv National University of Radio Electronics, Kharkiv

Yevgeniy Bodyanskiy,

Doctor of Technical Sciences, a professor at the Artificial Intelligence Department of Kharkiv National University of Radio Electronics, Kharkiv, Ukraine.

Yuriy P. Zaychenko, Educational and Scientific Complex “Institute for Applied System Analysis” of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv

Yuriy Zaychenko,

Doctor of Technical Sciences, a professor at the Department of the Mathematical Methods of System Analysis of Educational and Scientific Complex “Institute for Applied System Analysis” of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine.

Galib Hamidov, “Azershig” company, Baku

Galib Hamidov,

Ph.D., the head of Information Technologies Department of “Azershig” company, Baku, Azerbaijan.

Nonna Ye. Kulishova, Kharkiv National University of Radio Electronics, Kharkiv

Nonna Kulishova, Candidate of Technical Sciences (Ph.D.), a professor at the Department of Media Systems and Technologies of Kharkiv National University of Radio Electronics, Kharkiv, Ukraine.


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Theoretical and applied problems of intelligent systems for decision making support