Pavlo Mulesa

Work place: Cybernetics and Applied Mathematics Department, Uzhhorod National University, Uzhhorod, 88000, Ukraine



Research Interests: Computer systems and computational processes, Systems Architecture


Pavlo Mulesa graduated from Kharkiv National University of Radio Electronics in 2008. He got his PhD in Computer Science in 2013. He is currently working as a Senior Researcher at Control Systems Research Laboratory at Kharkiv National University of Radio Electronics. His current research interests are Hybrid Neuro-Fuzzy Systems.

Author Articles
Hybrid Clustering-Classification Neural Network in the Medical Diagnostics of the Reactive Arthritis

By Yevgeniy V. Bodyanskiy Olena Vynokurova Volodymyr Savvo Tatiana Tverdokhlib Pavlo Mulesa

DOI:, Pub. Date: 8 Aug. 2016

In the paper, the hybrid clustering-classification neural network is proposed. This network allows to increase a quality of information processing under the condition of overlapping classes due to the rational choice of learning rate parameter and introducing special procedure of fuzzy reasoning in the clustering-classification process, which occurs both with external learning signal (“supervised”), and without one (“unsupervised”). As similarity measure neighborhood function or membership one, cosine structures are used, which allow to provide a high flexibility due to self-learning-learning process and to provide some new useful properties. Many realized experiments have confirmed the efficiency of proposed hybrid clustering-classification neural network; also, this network was used for solving diagnostics task of reactive arthritis.

[...] Read more.
Other Articles