Kernel evolving neural networks for sequential principal component analysis and its adaptive learning algorithm. - Anastasiia O. Deineko; Yana V. Kutsenko; Iryna Pliss; Maksym Shalamov (CSIT, 2015)

An evolving radial basis neural network with adaptive learning of its parameters and architecture. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Anastasiia O. Deineko (Autom. Control. Comput. Sci., 2015)

Data streams fast EM-fuzzy clustering based on Kohonen's self-learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Yana V. Kutsenko; Oleksandr O. Zayika (DSMP, 2016)

An Evolving Neuro-Fuzzy System with Online Learning/Self-learning. - Yevgeniy V. Bodyanskiy; Oleksii K. Tyshchenko; Anastasiia O. Deineko (CoRR, 2016)

On-line kernel clustering based on the general regression neural network and T. Kohonen's self-organizing map. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Yana V. Kutsenko (Autom. Control. Comput. Sci., 2017)

Data Stream Online Clustering Based on Fuzzy Expectation-Maximization Approach. - Anastasiia O. Deineko; Polina Ye. Zhernova; Boris Gordon; Oleksandr O. Zayika; Iryna Pliss; Nelya Pabyrivska (DSMP, 2018)

Adaptive Kernel Data Streams Clustering Based on Neural Networks Ensembles in Conditions of Uncertainty About Amount and Shapes of Clusters. - Polina Ye. Zhernova; Anastasiia O. Deineko; Yevgeniy V. Bodyanskiy; Vladyslav O. Riepin (DSMP, 2018)

Kernel Fuzzy Kohonen's Clustering Neural Network and It's Recursive Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; F. M. Eze (Autom. Control. Comput. Sci., 2018)

Formal Neuron Based on Adaptive Parametric Rectified Linear Activation Function and its Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Valeriia Slepanska (DCSMart, 2019)

Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (IDDM, 2019)

Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (ACIT, 2020)

Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning. - Yevgeniy V. Bodyanskiy; Olha Chala; Iryna Pliss; Anastasiia O. Deineko (CSIT (1), 2020)

Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (CSIT, 2020)

Multilayer Radial-basis Function Network and its Learning. - Yevgeniy V. Bodyanskiy; Anastasiia Pirus; Anastasiia O. Deineko (CSIT (1), 2020)

Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala; Anna Nortsova (DSMP, 2020)

Adaptive Least-Squares Support Vector Machine and Its Online Learning. - Anastasiia O. Deineko; Yevgeniy V. Bodyanskiy; Filip Brodetskyi; Danylo Kosmin (ICTES, 2020)

Probabilistic Neuro-Fuzzy System in Medical Diagnostic Task and its Lazy Learning-Selflearning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (IDDM, 2020)

2-D Neural Network Based on M-neurons and its Learning. - Alina Albasova; Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss (ACIT, 2021)

Adaptive Learning of Evolving Hyper Basis Function Neural Network. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Oleksandr Zeleniy (CMIS, 2021)

Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning. - Yevgeniy V. Bodyanskiy; Olha Chala; Anastasiia O. Deineko; Iryna Pliss (CSIT (1), 2021)

Convolutional hyper basis function neural network and its online learning in the image recognition task. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Oleksandr Hontsa; Oleksandr Zeleniy (IntelITSIS, 2021)

Kernel Online System for Fast Principal Component Analysis and its Adaptive Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Antonina Bondarchuk; Maksym Shalamov (Int. J. Comput., 2021)

Deep Neural Network with Adaptive Parametric Rectified Linear Units and its Fast Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Viktoria Skorik; Filip Brodetskyi (Int. J. Comput., 2022)