Yevgeniy Bodyanskiy

发表

Neural Network for Online Principal Component Analysis in Medical Data Mining Tasks

Iryna Perova, Yelizaveta Brazhnykova, Yevgeniy Bodyanskiy, 2018, 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC).

Recognition of Human Primitive Motions for the Fitness Trackers

Iryna Perova, Yevgeniy Bodyanskiy, Polina Ye. Zhernova, 2019, ISDMCI.

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

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Anastasiia Deineko, 2020, 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).

Fast Probabilistic Neuro-Fuzzy System for Pattern Classification Task

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Olha Chala, 2020, Information Technology and Management Science.

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

Yevgeniy Bodyanskiy, Pavlo Mulesa, Olena Vynokurova, 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

Deep Neo-Fuzzy Neural Network and its Accelerated Learning

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Tymofii Antonenko, 2020, 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).

Kohonen Maps and Their Ensembles for Fuzzy Clustering Tasks

Oleksii K. Tyshchenko, Zhengbing Hu, Yevgeniy Bodyanskiy, 2019, Self-Learning and Adaptive Algorithms for Business Applications.

Online fuzzy clustering of high dimension data streams based on neural network ensembles

Iryna Perova, Yevgeniy Bodyanskiy, Polina Ye. Zhernova, 2019 .

Simulation Results and Solutions for Practical Tasks

Oleksii K. Tyshchenko, Zhengbing Hu, Yevgeniy Bodyanskiy, 2019 .

Least Squares Support Vector Machine Based on Wavelet-Neuron/ Uz wavelet neironiem balstītā minimālo kvadrātu atbalsta vektoru mašīna/ Машина опорных векторов наименьших квадратов на основе вэйвлет-нейрона

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2014 .

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

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2019, Data.

MODIFIED PROBABILISTIC NEURO-FUZZY NETWORK FOR TEXT DOCUMENTS PROCESSING

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Irina Pliss, 2014 .

ON-LINE VIDEO SEGMENTATION USING METHODS OF FAULT DETECTION IN MULTIDIMENSIONAL TIME SEQUENCES

Sergii Mashtalir, Yevgeniy Bodyanskiy, Dmitriy Kinoshenko, 2012 .

An evolving neuro-fuzzy system for online fuzzy clustering

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Oleksii Tyshchenko, 2015, 2015 Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT).

The Hybrid GMDH-Neo-fuzzy Neural Network in Forecasting Problems in Financial Sphere

Yevgeniy Bodyanskiy, Galib Hamidov, Yuriy Zaychenko, 2020, 2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC).

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

Yevgeniy Bodyanskiy, Alina Shafronenko, Sergii Mashtalir, 2019, ISDMCI.

Traffic Modeling and Simulation for NGN with Markov Reward Model and Neural Networks

Koen Vanhoof, Georgi Georgiev, Volodymyr Romanov, 2018 .

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

Yevgeniy Bodyanskiy, Alina Shafronenko, Iryna Pliss, 2019, 2019 9th International Conference on Advanced Computer Information Technologies (ACIT).

A Multidimensional Extended Neo-Fuzzy Neuron for Facial Expression Recognition

Oleksii K. Tyshchenko, Zhengbing Hu, Yevgeniy Bodyanskiy, 2017 .

RESERVOIR FORECASTING NEURO-FUZZY NETWORK AND ITS LEARNING

Oleksii K. Tyshchenko, Yevgeniy Bodyanskiy, Iryna Pliss, 2013 .

SELF-LEARNING FUZZY SPIKING NEURAL NETWORK AS A NONLINEAR PULSE-POSITION THRESHOLD DETECTION DYNAMIC SYSTEM BASED ON SECOND-ORDER CRITICALLY DAMPED RESPONSE UNITS

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Iryna Pliss, 2009 .

Review of the Problem Area

Oleksii K. Tyshchenko, Zhengbing Hu, Yevgeniy Bodyanskiy, 2019, Self-Learning and Adaptive Algorithms for Business Applications.

Online Fuzzy Clustering of Data Streams

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Olena O. Boiko, 2019 .

A fast learning algorithm of self-learning spiking neural network

Yevgeniy Bodyanskiy, Mykola Malyar, Iryna Pliss, 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

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

Yevgeniy Bodyanskiy, Alina Shafronenko, Galina Setlak, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

GENERAL REGRESSION NEURO-FUZZY NETWORK FOR IDENTIFICATION OF NONSTATIONARY PLANTS

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Nataliya Teslenko, 2008 .

Self-Learning Cascade Spiking Neural Network for Fuzzy Clustering Based on Group Method of Data Handling

Yevgeniy Bodyanskiy, Artem Dolotov, Elena A. Vynokurova, 2013 .

Unraveling Bi-Lingual Multi-feature based Text Classification: A case study

Koen Vanhoof, Sergii Mashtalir, Volodymyr Mashtalir, 2017 .

Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions

Oleksii K. Tyshchenko, Zhengbing Hu, Yevgeniy Bodyanskiy, 2019 .

An Enhancement of a Learning Procedure in Neuro-Fuzzy Model

Yevgeniy Bodyanskiy, Olena Vynokurova, Alexander Vlasenko, 2018, 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC).

GROWING NEURAL NETWORKS USING NONCONVENTIONAL ACTIVATION FUNCTIONS

Yevgeniy Bodyanskiy, Iryna Pliss, Oleksandr Slipchenko, 2007 .

A learning probabilistic neural network with fuzzy inference

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Jürgen Wernstedt, 2003, ICANNGA.

ADAPTIVE NOISE CANCELLATION FOR MULTI-SENSORY SIGNALS

Andrzej Cichocki, Sergiy A. Vorobyov, Yevgeniy Bodyanskiy, 2001 .

2D-Neo-Fuzzy Neuron and Its Adaptive Learning

Yevgeniy Bodyanskiy, Olena Vynokurova, Valentyna Volkova, 2018 .

Evolving Neo-Fuzzy System for Distorted Data Online Processing

Yevgeniy Bodyanskiy, Iryna Pliss, Alina Shafronenko, 2020, 2020 10th International Conference on Advanced Computer Information Technologies (ACIT).

THE CASCADE ORTHOGONAL NEURAL NETWORK

Yevgeniy Bodyanskiy, Iryna Pliss, Artem Dolotov, 2008 .

Possibilistic Fuzzy Clustering for Categorical Data Arrays Based on Frequency Prototypes and Dissimilarity Measures

Oleksii K. Tyshchenko, Zhengbing Hu, Yevgeniy Bodyanskiy, 2017 .

Hybrid fuzzy-clustering algorithm of unevenly and asynchronously spaced time series in computer engineering

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2018, 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET).

Online Time Series Changes Detection Based on Neuro-Fuzzy Approach

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2019, Predictive Maintenance in Dynamic Systems.

Deep 2D-Neural Network and its Fast Learning

Yevgeniy Bodyanskiy, Iryna Pliss, Daria Kopaliani, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

Self-learning Procedures for a Kernel Fuzzy Clustering System

Oleksii K. Tyshchenko, Zhengbing Hu, Yevgeniy Bodyanskiy, 2018 .

Robust Adaptive Identification of Non-Stationary Time Series Using Ensemble of Tuning Hybrid Adaptive Models

Yevgeniy Bodyanskiy, Pavlo Mulesa, Olena Vynokurova, 2016 .

Multilayer Network of Neuro-Fuzzy Units in Forecasting Applications

Yevgeniy Bodyanskiy, Sergiy Popov, 2008 .

Adaptive wavelet diagnostic neuro-fuzzy network for biomedical tasks

Iryna Perova, Yevgeniy Bodyanskiy, Ivan Izonin, 2018, 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET).

On-line Hybrid System of Computational Intelligence for Data Streams Adaptive Processing

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2015 .

Information Technology for Medical Data Stream Mining

Iryna Perova, Yelizaveta Brazhnykova, Yevgeniy Bodyanskiy, 2020, 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET).

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

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Volodymyr Timofeyev, 2020, 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).

Hybrid Adaptive Systems of Computational Intelligence and Their On-line Learning for Green IT in Energy Management Tasks

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2017 .

Diagnosis Wavelet-Neuro-Fuzzy System with Adaptive Wavelet Membership Function for Big Data Analysis Tasks

Yevgeniy Bodyanskiy, Pavlo Mulesa, Olena Vynokurova, 2016 .

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

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Olha Chala, 2018, Data.

SELFLEARNING FUZZY SPIKING NEURAL NETWORK BASED ON DISCRETE SECOND-ORDER CRITICALLY DUMPED RESPONSE UNITS FOR FUZZY CLUSTERING TASKS

Yevgeniy Bodyanskiy, A. I. Dolotov, D. M. Malysheva, 2013 .

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

Yevgeniy Bodyanskiy, Iryna Pliss, Nonna Kulishova, 2019, 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

Flexible Neo-fuzzy Neuron and Neuro-fuzzy Network for Monitoring Time Series Properties

Yevgeniy Bodyanskiy, Olena Vynokurova, Iryna Pliss, 2013 .

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

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2015, 2015 Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT).

A Hybrid Cascade Neural Network with Ensembles of Extended Neo-Fuzzy Neurons and Its Deep Learning

Oleksii K. Tyshchenko, Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, 2018, Advances in Intelligent Systems and Computing.

Analog-Digital Self-Learning Fuzzy Spiking Neural Network in Image Processing Problems

Yevgeniy Bodyanskiy, Artem Dolotov, 2009 .

Evolving Hybrid GMDH-Neuro-Fuzzy Network and its Applications

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Yuriy Zaychenko, 2018, 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC).

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

Yevgeniy Bodyanskiy, Olena Vynokurova, Oleg Kobylin, 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

Real-Time Identification and Forecasting of Chaotic Time Series Using Hybrid Systems of Computational Intelligence

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy, 2006 .

Fuzzy Clustering Data Arrays with Omitted Observations

Oleksii K. Tyshchenko, Zhengbing Hu, Yevgeniy Bodyanskiy, 2017 .

ADAPTIVE HUMAN MACHINE INTERACTION APPROACH FOR FEATURE SELECTION-EXTRACTION TASK IN MEDICAL DATA MINING

Iryna Perova, Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, 2018, International Journal of Computing.

Adaptive Methods of Fuzzy Clustering

Oleksii K. Tyshchenko, Zhengbing Hu, Yevgeniy Bodyanskiy, 2019 .

Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Iryna Pliss, 2020, 2020 10th International Conference on Advanced Computer Information Technologies (ACIT).

Spline-Orthogonal Extended Neo-Fuzzy Neuron

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Galib Hamidov, 2019, 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

On-line Robust Fuzzy Clustering for Anomalies Detection

Yevgeniy Bodyanskiy, Oleksii Didyk, 2018 .

Hybrid Type-2 Wavelet-neuro-fuzzy Network for Prediction of Business Processes

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2011 .

Least Squares Support Vector Machine Based on Wavelet-Neuron

Yevgeniy Bodyanskiy, Olena Vynokurova, Oleksandra Kharchenko, 2014 .

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

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2017, DepCoS-RELCOMEX.

Adaptive Matrix Model for a Crime Forecasting Task

Yevgeniy Bodyanskiy, Dmytro Uzlov, Yevgeniy V. Bodyanskiy, 2020, 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).

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

Yevgeniy Bodyanskiy, Nonna Kulishova, Daria Malysheva, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

Hybrid Generalised Additive Type-2 Fuzzy-Wavelet-Neural Network in Dynamic Data Mining

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2015 .

Neuro-Fuzzy Kolmogorov's Network with a Modified Perceptron Learning Rule for Classification Problems

Yevgeniy Bodyanskiy, Andreas Stephan, Vitaliy Kolodyazhniy, 2006 .

descriptions of classes (patterns), providing mass parallelism at data processing and significant acceleration of processes for solution making in the process of pattern recognition has been described.

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2008 .

Neuro-fuzzy Kolmogorov's Network

Yevgeniy Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, 2005, ICANN.

HYBRID CASCADE NEURAL NETWORK BASED ON WAVELET-NEURON

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2011 .

2D-Deep Neural Network and Its Online Rapid Learning

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Iryna Pliss, 2019, 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

Kernel Online System for Fast Principal Component Analysis and its Adaptive Learning

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Anastasiia Deineko, 2021, International Journal of Computing.

Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function

Yevgeniy Bodyanskiy, Alina Shafronenko, Irina Pliss, 2021, 2021 11th International Conference on Advanced Computer Information Technologies (ACIT).

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

Yevgeniy Bodyanskiy, Iryna Pliss, Olha Chala, 2021, 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT).

Tunable Activation Functions for Deep Neural Networks

Sergii Mashtalir, Yevgeniy Bodyanskiy, Bohdan Bilonoh, 2021, Lecture Notes in Computational Intelligence and Decision Making.

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

Yevgeniy Bodyanskiy, Anastasiia Deineko, Iryna Pliss, 2021, 2021 11th International Conference on Advanced Computer Information Technologies (ACIT).

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

Yevgeniy Bodyanskiy, Nonna Kulishova, 2021, 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS AND ITS LEARNING ALGORITHMS FOR ON-LINE INFORMATION PROCESSING

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Iryna Pliss, 2009 .

An Evolving Cascade Neuro-Fuzzy System for Data Stream Fuzzy Clustering

Yevgeniy Bodyanskiy, Oleksii Tyshchenko, Daria Kopaliani, 2015 .

Outlier Resistant Recursive Fuzzy Clustering Algorithms

Illya Kokshenev, Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, 2006 .

ITHEA MULTILAYER NEURO-FUZZY SYSTEM FOR SOLVING ON-LINE DIAGNOSTICS TASKS

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2014 .

EVOLVING CASCADE NEURAL NETWORK BASED ON MULTIDIMESNIONAL EPANECHNIKOV'S KERNELS AND ITS LEARNING ALGORITHM

Yevgeniy Bodyanskiy, Yevgeniy V. Bodyanskiy, Paul Grimm, 2011 .