| Function approximation using robust radial basis function networks O Rudenko, O Bezsonov Journal of Intelligent Learning Systems and Applications 3 (01), 17-25, 2011 | 24 | 2011 |
| Resource and energy saving neural network-based control approach for continuous carbon steel pickling process O Bezsonov, O Ilyunin, B Kaldybaeva, O Selyakov, O Perevertaylenko, ... Journal of Sustainable Development of Energy, Water and Environment Systems …, 2019 | 18 | 2019 |
| Neural network time series prediction based on multilayer perceptron O Rudenko, O Bezsonov, O Romanyk Development Management 5 (1), 23-34, 2019 | 15 | 2019 |
| CMAC neural network and its use in problems of identification and control of nonlinear dynamic objects OG Rudenko, AA Bessonov Cybernetics and Systems Analysis 41, 647-658, 2005 | 14 | 2005 |
| Cattle breed identification and live weight evaluation on the basis of machine learning and computer vision. O Rudenko, Y Megel, O Bezsonov, A Rybalka CMIS 2608, 939-954, 2020 | 11 | 2020 |
| Real-time identification of nonlinear time-varying systems using radial basis function network OG Rudenko, AA Bessonov Cybernetics and Systems Analysis 39 (6), 927-934, 2003 | 10 | 2003 |
| Breed recognition and estimation of live weight of cattle based on methods of machine learning and computer vision O Bezsonov, O Lebediev, V Lebediev, Y Megel, D Prochukhan, ... Eastern-European Journal of Enterprise Technologies 6 (9), 114, 2021 | 9 | 2021 |
| Robust identification of non-stationary objects with nongaussian interference O Rudenko, O Bezsonov, O Lebediev, N Serdiuk Восточно-Европейский журнал передовых технологий, 44-52, 2019 | 8 | 2019 |
| Identification of nonlinear nonstationary objects using evolving radial basis network OG Rudenko, AA Bezsonov Journal of Automation and Information Sciences 44 (8), 2012 | 7 | 2012 |
| ANALYSIS OF CONVERGENCE OF ADAPTIVE SINGLE-STEP ALGORITHMS FOR THE IDENTIFICATION OF NON-STATIONARY OBJECTS. O Rudenko, O Bezsonov, O Romanyk, V Lebediev Eastern-European Journal of Enterprise Technologies 97 (4), 2019 | 6 | 2019 |
| Approximation of Gaussian basis functions in the problem of adaptive control of nonlinear objects OG Rudenko, AA Bezsonov, AS Liashenko, RA Sunna Cybernetics and Systems Analysis 47, 1-10, 2011 | 6 | 2011 |
| Robust neuroevolutionary identification of nonlinear nonstationary objects OG Rudenko, OO Bezsonov Cybernetics and Systems Analysis 50, 17-30, 2014 | 5 | 2014 |
| Оценка эффективности распределенных информационных систем ЕВ Дуравкин, ТКАД Амер Системи обробки інформації, 41-43, 2008 | 5* | 2008 |
| First-order optimization (training) algorithms in deep learning O Rudenko, O Bezsonov, K Oliinyk CEUR Workshop Proceedings, 921-935, 2020 | 4 | 2020 |
| Processing of noisy digital images with use of evolving autoencoders O Bezsonov, O Rudenko, S Udovenko, O Dudinova Восточно-Европейский журнал передовых технологий, 63-69, 2017 | 4 | 2017 |
| Radial basic networks M-training by asymmetric influence functions OG Rudenko, AA Bezsonov Journal of Automation and Information Sciences 44 (2), 2012 | 4 | 2012 |
| Robust training of radial basis networks OG Rudenko, OO Bezsonov Cybernetics and Systems Analysis 47, 863-870, 2011 | 4 | 2011 |
| Robust learning wavelet neural networks OG Rudenko, AA Bezsonov Journal of Automation and Information Sciences 42 (10), 2010 | 4 | 2010 |
| Adaptive control of multidimensional nonlinear objects on the basis of radial-basis networks OG Rudenko, AA Bessonov Cybernetics and Systems Analysis 41, 302-308, 2005 | 4 | 2005 |
| Intelligent Identification System of the Process Liquid Solutions Composition. O Bezsonov, O Ilyunin, A Khusanov, O Rudenko, O Sotnikov COLINS, 960-973, 2022 | 3 | 2022 |
