Yevgeniy V. Bodyanskiy

According to our database, Yevgeniy V. Bodyanskiy authored at least 120 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Online Image Segmentation using Сredibilistic Fuzzy Clustering.

Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko, Anton Plubiekhin, Dmytro Frolov

Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2024

2023

An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions.

Khrystyna Lipianina-Honcharenko, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Ivan Kit, Tetiana Podchasova, Taras Lendiuk

Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, 2023

Matrix Hyper-Basis Function Neural Network and Its Online Learning.

Olha Chala, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Maciej Dobrowolski

Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

Using Adaptive Activation Functions in Pre-Trained Artificial Neural Network Models.

Yevgeniy V. Bodyanskiy, Serhii Kostiuk

Proceedings of the 11-th International Conference "Information Control Systems & Technologies", 2023

Application of Hybrid Neural Networks based on bagging and Group Method of Data Handling for forecasting.

Yevgeniy V. Bodyanskiy, Oleksii Kuzmenko, Helen Zaichenko, Yuriy P. Zaychenko

Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

CLIPTraVeLGAN for Semantically Robust Unpaired Image Translation.

Yevgeniy V. Bodyanskiy, Nataliya Ryabova, Roman Lavrynenko

Proceedings of the 7th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2023

Credibilistic Fuzzy Clustering Method Based on Evolutionary Approach of Crazy Wolfs in Online Mode.

Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss

Proceedings of The Sixth International Workshop on Computer Modeling and Intelligent Systems (CMIS 2023), 2023

Stacking Neuro-Neo-Fuzzy System for Pattern Recognition and Its Online Learning.

Yevgeniy V. Bodyanskiy, Olha Chala

Proceedings of the 13th International Conference on Advanced Computer Information Technologies, 2023

2022

Methods For Increasing The Reliability Of The Functioning Of Pipeline Systems.

Sergey Dyadun, Yevgeniy V. Bodyanskiy, Kyryl Korobchynskyi, Oleg Kobylin

Proceedings of the 2nd International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2022) 2022, 2022

Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks.

Yevgeniy V. Bodyanskiy, Olha Chala, Ivan Izonin, Sergiy Popov

Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18, 2022

Adaptive Least-Squares Support Vector Machine and its Combined Learning-Selflearning in Image Recognition Task.

Yevgeniy V. Bodyanskiy, Sergiy Popov, Filip Brodetskyi, Olha Chala

Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

2021

Neo-Fuzzy System With Special Type Membership Functions Adaptation and Fast Tuning Of Synaptic Weights In Emotion Recognition Task.

Yevgeniy V. Bodyanskiy, Nonna Kulishova, Olha Chala

Proceedings of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021), 2021

Convolutional hyper basis function neural network and its online learning in the image recognition task.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Oleksandr Hontsa, Oleksandr Zeleniy

Proceedings of the 2nd International Workshop on Intelligent Information Technologies & Systems of Information Security with CEUR-WS, 2021

Generalized Neo-Fuzzy-Neuron with Membership Functions of Special Type in Medical Diagnostics.

Yevgeniy V. Bodyanskiy, Olha Chala

Proceedings of the 4th International Conference on Informatics & Data-Driven Medicine, Valencia, Spain, November 19, 2021

Multidimensional Neuro-fuzzy System and Fuzzy Coding for a Constant Length Facial Landmark Set Formation.

Yevgeniy V. Bodyanskiy, Nonna Kulishova

Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning.

Yevgeniy V. Bodyanskiy, Olha Chala, Anastasiia Deineko, Iryna Pliss

Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

Adaptive Recovery of Distorted Data Based on Credibilistic Fuzzy Clustering Approach.

Yevgeniy V. Bodyanskiy, Alina Shafronenko, Iryna Klymova

Proceedings of the 5th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2021). Volume I: Main Conference, 2021

Adaptive Learning of Evolving Hyper Basis Function Neural Network.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Oleksandr Zeleniy

Proceedings of The Fourth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2021), 2021

Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function.

Alina Shafronenko, Yevgeniy V. Bodyanskiy, Irina Pliss, Klymova Irina

Proceedings of the 11th International Conference on Advanced Computer Information Technologies, 2021

2-D Neural Network Based on M-neurons and its Learning.

Alina Albasova, Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss

Proceedings of the 11th International Conference on Advanced Computer Information Technologies, 2021

2020

Probabilistic Neuro-Fuzzy System in Medical Diagnostic Task and its Lazy Learning-Selflearning.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala

Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

Adaptive Least-Squares Support Vector Machine and Its Online Learning.

Anastasiia Deineko, Yevgeniy V. Bodyanskiy, Filip Brodetskyi, Danylo Kosmin

Proceedings of the 2nd International Workshop on Information-Communication Technologies & Embedded Systems (ICTES 2020) Mykolaiv, 2020

Adaptive Matrix Model for a Crime Forecasting Task.

Dmytro Uzlov, Sergiy Popov, Oleksii Vlasov, Yevgeniy V. Bodyanskiy

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

The Fast Image Recognition System Based on Neuro-Fuzzy Units and its Online Learning for Data Stream Mining Tasks.

Nonna Kulishova, Yevgeniy V. Bodyanskiy, Volodymyr Timofeyev

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala, Anna Nortsova

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Deep Neo-Fuzzy Neural Network and its Accelerated Learning.

Yevgeniy V. Bodyanskiy, Tymofii Antonenko

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Multilayer Radial-basis Function Network and its Learning.

Yevgeniy V. Bodyanskiy, Anastasiia Pirus, Anastasiia Deineko

Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020

Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala

Proceedings of the Advances in Intelligent Systems and Computing V, 2020

Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning.

Yevgeniy V. Bodyanskiy, Olha Chala, Iryna Pliss, Anastasiia Deineko

Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020

Online credibilistic fuzzy clustering of data using membership functions of special type.

Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Klymova, Olexii Holovin

Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), 2020

Adaptive fuzzy clustering approach based on evolutionary cat swarm optimization.

Alina Shafronenko, Yevgeniy V. Bodyanskiy

Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), 2020

Evolving Neo-Fuzzy System for Distorted Data Online Processing.

Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss, Sergiy Popov

Proceedings of the 10th International Conference on Advanced Computer Information Technologies, 2020

Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala

Proceedings of the 10th International Conference on Advanced Computer Information Technologies, 2020

2019

A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting.

Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, Dmytro Peleshko

Data, 2019

A Hybrid Cascade Neuro-Fuzzy Network with Pools of Extended Neo-Fuzzy Neurons and its Deep Learning.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko

Int. J. Appl. Math. Comput. Sci., 2019

Recognition of Human Primitive Motions for the Fitness Trackers.

Iryna Perova, Polina Zhernova, Oleh Datsok, Yevgeniy V. Bodyanskiy, Olha Velychko

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019

Online Robust Fuzzy Clustering of Data with Omissions Using Similarity Measure of Special Type.

Yevgeniy V. Bodyanskiy, Alina Shafronenko, Sergii Mashtalir

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019

Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala

Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), 2019

The Extended Generalized Neo-Fuzzy Network and Its Online Learning in Image Recognition Problem.

Nonna Kulishova, Yevgeniy V. Bodyanskiy, Iryna Pliss

Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

2D-Deep Neural Network and Its Online Rapid Learning.

Yevgeniy V. Bodyanskiy, Olena O. Boiko, Iryna Pliss, Valentyna Volkova

Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

Fuzzy Clustering High-Dimensional Data Using Information Weighting.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Sergii V. Mashtalir

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Formal Neuron Based on Adaptive Parametric Rectified Linear Activation Function and its Learning.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Valeriia Slepanska

Proceedings of the 1st International Workshop on Digital Content & Smart Multimedia (DCSMart 2019), 2019

Online Neuro Fuzzy Clustering of Data with Omissions and Outliers based on Сompletion Strategy.

Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko

Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), 2019

Spline-Orthogonal Extended Neo-Fuzzy Neuron.

Yevgeniy V. Bodyanskiy, Yuriy P. Zaychenko, Nonna Kulishova, Galib Hamidov

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

Fuzzy Clusterization of Distorted by Missing Observations Data Sets Using Evolutionary Optimization.

Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss, Kateryna Patlan

Proceedings of the 9th International Conference on Advanced Computer Information Technologies, 2019

2018

The Extended Multidimensional Neo-Fuzzy System and Its Fast Learning in Pattern Recognition Tasks.

Yevgeniy V. Bodyanskiy, Nonna Kulishova, Olha Chala

Data, 2018

A neuro-fuzzy Kohonen network for data stream possibilistic clustering and its online self-learning procedure.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko

Appl. Soft Comput., 2018

Kernel Fuzzy Kohonen's Clustering Neural Network and It's Recursive Learning.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, F. M. Eze

Autom. Control. Comput. Sci., 2018

Fuzzy Clustering of Biomedical Datasets Using BSB-Neuro-Fuzzy-Model.

Iryna Perova, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Mikolaj P. Karpinski, Pawel Rudyk

Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), 2018

Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning.

Yevgeniy V. Bodyanskiy, Galina Setlak, Olena Vynokurova, Iryna Pliss, Olena O. Boiko

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 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

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Fuzzy Clustering of Distorted Observations Based on Optimal Expansion Using Partial Distances.

Alina Shafronenko, Artem Dolotov, Yevgeniy V. Bodyanskiy, Galina Setlak

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Medical Data-Stream Mining in the Area of Electromagnetic Radiation and Low Temperature Influence on Biological Objects.

Iryna Perova, Olena Litovchenko, Yevgeniy V. Bodyanskiy, Yelizaveta Brazhnykova, Igor Zavgorodnii, Pavlo Mulesa

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks.

Yevgeniy V. Bodyanskiy, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Deep 2D-Neural Network and its Fast Learning.

Yevgeniy V. Bodyanskiy, Iryna Pliss, Daria S. Kopaliani, Olena O. Boiko

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

The Multidimensional Extended Neo-Fuzzy System and its Fast Learning for Emotions Online Recognition.

Yevgeniy V. Bodyanskiy, Nonna Kulishova, Daria Malysheva

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions.

Yevgeniy V. Bodyanskiy, Artem Dolotov, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova

Proceedings of the Contemporary Complex Systems and Their Dependability, 2018

Matrix Deep Neural Network and Its Rapid Learning in Data Science Tasks.

Iryna Pliss, Olena O. Boiko, Valentyna Volkova, Yevgeniy V. Bodyanskiy

Proceedings of the International Conference Advanced Computer Information Technologies, 2018

The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning.

Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova

Proceedings of the International Conference Advanced Computer Information Technologies, 2018

2017

Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Dmytro Peleshko, Pavlo Mulesa

Neurocomputing, 2017

An evolving connectionist system for data stream fuzzy clustering and its online learning.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani

Neurocomputing, 2017

Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova

CoRR, 2017

Fuzzy Clustering Data Given in the Ordinal Scale.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova

CoRR, 2017

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

Evolving GMDH-neuro-fuzzy system with small number of tuning parameters.

Yevgeniy V. Bodyanskiy, Olena O. Boiko, Yuriy P. Zaychenko, Galib Hamidov

Proceedings of the 13th International Conference on Natural Computation, 2017

Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network.

Galina Setlak, Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova, Dmytro Peleshko, Illya Kobylin

Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych

Proceedings of the Advances in Dependability Engineering of Complex Systems, 2017

A hybrid growing ENFN-based neuro-fuzzy system and its rapid deep learning.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko

Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017

2016

Adaptive learning of an evolving cascade neo-fuzzy system in data stream mining tasks.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani

Evol. Syst., 2016

An Ensemble of Adaptive Neuro-Fuzzy Kohonen Networks for Online Data Stream Fuzzy Clustering.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko

CoRR, 2016

Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko

CoRR, 2016

An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko

CoRR, 2016

Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis.

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

CoRR, 2016

A Multidimensional Cascade Neuro-Fuzzy System with Neuron Pool Optimization in Each Cascade.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani

CoRR, 2016

An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani

CoRR, 2016

An Evolving Neuro-Fuzzy System with Online Learning/Self-learning.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Anastasiia O. Deineko

CoRR, 2016

Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks.

Galina Setlak, Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

A deep cascade neuro-fuzzy system for high-dimensional online fuzzy clustering.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Adaptive robust models for identification of nonstationary systems in data stream mining tasks.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Zdzislaw Szymanski, Illya Kobylin, Oleg Kobylin

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Galina Setlak, Pavlo Mulesa

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

A fast learning algorithm of self-learning spiking neural network.

Yevgeniy V. Bodyanskiy, Artem Dolotov, Iryna Pliss, Mykola Malyar

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Data streams fast EM-fuzzy clustering based on Kohonen's self-learning.

Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Yana V. Kutsenko, Oleksandr O. Zayika

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych

Proceedings of the Dependability Engineering and Complex Systems, 2016

A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering.

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko

Proceedings of the XIth International Scientific and Technical Conference Computer Sciences and Information Technologies, 2016

2015

A hybrid cascade neural network with an optimized pool in each cascade.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani

Soft Comput., 2015

An evolving radial basis neural network with adaptive learning of its parameters and architecture.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Anastasiia Deineko

Autom. Control. Comput. Sci., 2015

Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms.

Yevgeniy V. Bodyanskiy, Galina Setlak, Dmytro Peleshko, Olena Vynokurova

Proceedings of the IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2015

Flexible 2D membership functions for images filtering using fuzzy peer group approach.

Nonna Kulishova, Yevgeniy V. Bodyanskiy

Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015

Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss

Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015

An evolving neuro-fuzzy system for online fuzzy clustering.

Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani

Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015

2014

Evolving spiking wavelet-neuro-fuzzy self-learning system.

Yevgeniy V. Bodyanskiy, Artem Dolotov, Olena Vynokurova

Appl. Soft Comput., 2014

2013

Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification.

Yevgeniy V. Bodyanskiy, Olena Vynokurova

Inf. Sci., 2013

A Spiking Neuron Model based on the Lambert W Function.

Yevgeniy V. Bodyanskiy, Artem Dolotov

Proceedings of the IJCCI 2013, 2013

Implementation of search mechanism for implicit dependences in process mining.

Olga Kalynychenko, Sergii Chalyi, Yevgeniy V. Bodyanskiy, Vira Golian, Nataliia Golian

Proceedings of the IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2013

2011

Matrix Neuro-Fuzzy Self-Organizing Clustering Network.

Yevgeniy V. Bodyanskiy, Valentyna Volkova, Mark Skuratov

Sci. J. Riga Tech. Univ. Ser. Comput. Sci., 2011

Semantic annotation of text documents using modified probabilistic neural network.

Yevgeniy V. Bodyanskiy, Olga Shubkina

Proceedings of the IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2011

2010

Autoassociative Memory Evolving System Based on Fuzzy Basis Functions.

Yevgeniy V. Bodyanskiy, Nataliya Teslenko

Sci. J. Riga Tech. Univ. Ser. Comput. Sci., 2010

Fast Training of Neural Networks for Image Compression.

Yevgeniy V. Bodyanskiy, Paul Grimm, Sergey Mashtalir, Vladimir Vinarski

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

2009

A Multilayered Self-Learning Spiking Neural Network and its Learning Algorithm Based on 'Winner-Takes-More' Rule in Hierarchical Clustering.

Yevgeniy V. Bodyanskiy, Artem Dolotov

Sci. J. Riga Tech. Univ. Ser. Comput. Sci., 2009

Function Decomposition Network.

Yevgeniy V. Bodyanskiy, Sergiy Popov, Mykola Titov

Proceedings of the Artificial Neural Networks, 2009

2008

Multilayer Neuro-fuzzy Network for Short Term Electric Load Forecasting.

Yevgeniy V. Bodyanskiy, Sergiy Popov, Taras Rybalchenko

Proceedings of the Computer Science, 2008

Robust Learning Algorithm for Networks of Neuro-Fuzzy Units.

Yevgeniy V. Bodyanskiy, Sergiy Popov, Mykola Titov

Proceedings of the Innovations and Advances in Computer Sciences and Engineering, 2008

2006

Neural network approach to forecasting of quasiperiodic financial time series.

Yevgeniy V. Bodyanskiy, Sergiy Popov

Eur. J. Oper. Res., 2006

2005

An adaptive learning algorithm for a wavelet neural network.

Yevgeniy V. Bodyanskiy, Nataliya Lamonova, Irina Pliss, Olena Vynokurova

Expert Syst. J. Knowl. Eng., 2005

Computational Intelligence Techniques for Data Analysis.

Yevgeniy V. Bodyanskiy

Proceedings of the Marktplatz Internet: von E-Learning bis E-Payment, 2005

Neuro-Fuzzy Kolmogorov's Network for Time Series Prediction and Pattern Classification.

Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy, Peter Otto

Proceedings of the KI 2005: Advances in Artificial Intelligence, 2005

Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks.

Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Irina Pliss

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Neuro-fuzzy Kolmogorov's Network.

Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Valeriya Poyedyntseva

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004

Fuzzy Kolmogorov's Network.

Vitaliy Kolodyazhniy, Yevgeniy V. Bodyanskiy

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Fuzzy Selection Mechanism for Multimodel Prediction.

Yevgeniy V. Bodyanskiy, Sergiy Popov

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Universal Approximator Employing Neo-Fuzzy Neurons.

Vitaliy Kolodyazhniy, Yevgeniy V. Bodyanskiy, Peter Otto

Proceedings of the Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29, 2004

Combined Learning Algorithm for a Self-Organizing Map with Fuzzy Inference.

Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Andreas Stephan

Proceedings of the Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29, 2004

2003

A new learning algorithm for a forecasting neuro-fuzzy network.

Peter Otto, Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy

Integr. Comput. Aided Eng., 2003

An Optimal Algorithm for Combining Multivariate Forecasts in Hybrid Systems.

Yevgeniy V. Bodyanskiy, Peter Otto, Irina Pliss, Sergiy Popov

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Probabilistic Neuro-fuzzy Network with Non-conventional Activation Functions.

Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Jürgen Wernstedt

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

A learning probabilistic neural network with fuzzy inference.

Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Jürgen Wernstedt

Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

An adaptive learning algorithm for a neo fuzzy neuron.

Yevgeniy V. Bodyanskiy, Illya Kokshenev, Vitaliy Kolodyazhniy

Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

Resource-allocating probabilistic neuro-fuzzy network.

Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy

Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

2001

An Adaptive Learning Algorithm for a Neuro-fuzzy Network.

Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy, Andreas Stephan

Proceedings of the Computational Intelligence, 2001

1999

Detection of NARMA-sequence order using recurrent artificiai neural networks.

Yevgeniy V. Bodyanskiy, S. A. Vorobyov, Andreas Stephan

Proceedings of the 5th European Control Conference, 1999