default search action
Yevgeniy V. Bodyanskiy
Person information
- affiliation: Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c98]Olha Chala, Ivan Izonin, Iryna Pliss, Yevgeniy V. Bodyanskiy:
Neuro-Fuzzy System with Adaptive Membership-Activation Functions for Pattern Recognition. ACIT 2024: 140-143 - [c97]Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko, Oleksii Tanianskyi:
Online Stacking Credibilistic Fuzzy Clustering for Data Stream Mining. CMIS 2024: 340-349 - [c96]Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko, Anton Plubiekhin, Dmytro Frolov:
Online Image Segmentation using Сredibilistic Fuzzy Clustering. COLINS (1) 2024: 1-10 - [c95]Olha Chala, Anatoliy Sachenko, Yevgeniy V. Bodyanskiy, Leonid Bytsyura, Agnieszka Molga:
Probabilistic Neuro-Fuzzy System Based on Greed Partitioning Input Space and It's Fast Combined Learning. IS 2024: 1-5 - [c94]Yevgeniy V. Bodyanskiy, Nonna Kulishova, Mykhailo Petrykin, Maxim Kulishov:
Adaptive Piece-Wise Linear Squashing Activation Function for Deep Neural Networks. ProfIT AI 2024: 377-384 - 2023
- [j25]Yevgeniy V. Bodyanskiy, Serhii Kostiuk
:
Learnable Extended Activation Function for Deep Neural Networks. Int. J. Comput. 22(3): 311-318 (2023) - [c93]Yevgeniy V. Bodyanskiy, Olha Chala:
Stacking Neuro-Neo-Fuzzy System for Pattern Recognition and Its Online Learning. ACIT 2023: 521-524 - [c92]Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss:
Credibilistic Fuzzy Clustering Method Based on Evolutionary Approach of Crazy Wolfs in Online Mode. CMIS 2023: 141-150 - [c91]Yevgeniy V. Bodyanskiy, Nataliya Ryabova, Roman Lavrynenko:
CLIPTraVeLGAN for Semantically Robust Unpaired Image Translation. COLINS (1) 2023: 1-12 - [c90]Yevgeniy V. Bodyanskiy, Oleksii Kuzmenko
Application of Hybrid Neural Networks based on bagging and Group Method of Data Handling for forecasting. CSIT 2023: 1-6 - [c89]Yevgeniy V. Bodyanskiy, Serhii Kostiuk
Using Adaptive Activation Functions in Pre-Trained Artificial Neural Network Models. ICST 2023: 91-105 - [c88]Olha Chala, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Maciej Dobrowolski:
Matrix Hyper-Basis Function Neural Network and Its Online Learning. IDAACS 2023: 1-4 - [c87]Khrystyna Lipianina-Honcharenko, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Ivan Kit, Tetiana Podchasova, Taras Lendiuk:
An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions. ProfIT AI 2023: 224-232 - [e4]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Roth Hubert, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Selected Papers of the III International Scientific Symposium "Intelligent Solutions" (IntSol-2023). Symposium Proceedings Kyiv - Uzhhorod, Ukraine, September 27-28, 2023., Kyiv - Uzhhorod, Ukraine, September 27-28, 2023. CEUR Workshop Proceedings 3538, CEUR-WS.org 2023 [contents] - 2022
- [j24]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Viktoria Skorik, Filip Brodetskyi:
Deep Neural Network with Adaptive Parametric Rectified Linear Units and its Fast Learning. Int. J. Comput. 21(1): 11-18 (2022) - [c86]Yevgeniy V. Bodyanskiy, Sergiy Popov, Filip Brodetskyi, Olha Chala:
Adaptive Least-Squares Support Vector Machine and its Combined Learning-Selflearning in Image Recognition Task. CSIT 2022: 48-51 - [c85]Yevgeniy V. Bodyanskiy, Olha Chala, Ivan Izonin, Sergiy Popov:
Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks. IDDM 2022: 1-8 - [c84]Sergey Dyadun, Yevgeniy V. Bodyanskiy, Kyryl Korobchynskyi, Oleg Kobylin:
Methods For Increasing The Reliability Of The Functioning Of Pipeline Systems. ProfIT AI 2022: 104-109 - [e3]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Selected Papers of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021). Workshop Proceedings, Kyiv - Uzhhorod, Ukraine, September 28-30, 2021. CEUR Workshop Proceedings 3106, CEUR-WS.org 2022 [contents] - 2021
- [j23]Yevgeniy V. Bodyanskiy
Kernel Online System for Fast Principal Component Analysis and its Adaptive Learning. Int. J. Comput. 20(2): 175-180 (2021) - [c83]Alina Albasova, Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss:
2-D Neural Network Based on M-neurons and its Learning. ACIT 2021: 700-703 - [c82]Alina Shafronenko, Yevgeniy V. Bodyanskiy, Irina Pliss, Klymova Irina:
Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function. ACIT 2021: 704-707 - [c81]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Oleksandr Zeleniy:
Adaptive Learning of Evolving Hyper Basis Function Neural Network. CMIS 2021: 12-21 - [c80]Yevgeniy V. Bodyanskiy, Alina Shafronenko, Iryna Klymova:
Adaptive Recovery of Distorted Data Based on Credibilistic Fuzzy Clustering Approach. COLINS 2021: 6-15 - [c79]Yevgeniy V. Bodyanskiy, Olha Chala, Anastasiia O. Deineko, Iryna Pliss:
Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning. CSIT (1) 2021: 5-8 - [c78]Yevgeniy V. Bodyanskiy, Nonna Kulishova:
Multidimensional Neuro-fuzzy System and Fuzzy Coding for a Constant Length Facial Landmark Set Formation. IDAACS 2021: 166-171 - [c77]Yevgeniy V. Bodyanskiy, Olha Chala:
Generalized Neo-Fuzzy-Neuron with Membership Functions of Special Type in Medical Diagnostics. IDDM 2021: 1-10 - [c76]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Oleksandr Hontsa, Oleksandr Zeleniy:
Convolutional hyper basis function neural network and its online learning in the image recognition task. IntelITSIS 2021: 108-117 - [c75]Yevgeniy V. Bodyanskiy, Nonna Kulishova, Olha Chala:
Neo-Fuzzy System With Special Type Membership Functions Adaptation and Fast Tuning Of Synaptic Weights In Emotion Recognition Task. IntSol 2021: 158-166 - [c74]Yevgeniy V. Bodyanskiy
Robust Recurrent Credibilistic Modification of the Gustafson - Kessel Algorithm. ISDMCI 2021: 613-623 - [c73]Bohdan Bilonoh
Tunable Activation Functions for Deep Neural Networks. ISDMCI 2021: 624-633 - [e2]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Proceedings of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021), Kyiv-Uzhhorod, Ukraine, September 28-30, 2021. CEUR Workshop Proceedings 3018, CEUR-WS.org 2021 [contents] - 2020
- [c72]Alina Shafronenko, Yevgeniy V. Bodyanskiy
Evolving Neo-Fuzzy System for Distorted Data Online Processing. ACIT 2020: 352-355 - [c71]Yevgeniy V. Bodyanskiy
Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning. ACIT 2020: 465-468 - [c70]Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Klymova, Olexii Holovin:
Online credibilistic fuzzy clustering of data using membership functions of special type. CMIS 2020: 744-753 - [c69]Alina Shafronenko, Yevgeniy V. Bodyanskiy:
Adaptive fuzzy clustering approach based on evolutionary cat swarm optimization. CMIS 2020: 832-842 - [c68]Yevgeniy V. Bodyanskiy
Multilayer Radial-basis Function Network and its Learning. CSIT (1) 2020: 92-95 - [c67]Yevgeniy V. Bodyanskiy
Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning. CSIT (1) 2020: 96-99 - [c66]Yevgeniy V. Bodyanskiy
Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task. CSIT 2020: 371-382 - [c65]Yevgeniy V. Bodyanskiy
Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task. DSMP 2020: 33-36 - [c64]Yevgeniy V. Bodyanskiy
Deep Neo-Fuzzy Neural Network and its Accelerated Learning. DSMP 2020: 67-71 - [c63]Dmytro Uzlov
Adaptive Matrix Model for a Crime Forecasting Task. DSMP 2020: 96-101 - [c62]Nonna Kulishova, Yevgeniy V. Bodyanskiy
The Fast Image Recognition System Based on Neuro-Fuzzy Units and its Online Learning for Data Stream Mining Tasks. DSMP 2020: 147-151 - [c61]Anastasiia O. Deineko, Yevgeniy V. Bodyanskiy, Filip Brodetskyi, Danylo Kosmin:
Adaptive Least-Squares Support Vector Machine and Its Online Learning. ICTES 2020: 58-72 - [c60]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala:
Probabilistic Neuro-Fuzzy System in Medical Diagnostic Task and its Lazy Learning-Selflearning. IDDM 2020: 29-35
2010 – 2019
- 2019
- [j22]Yevgeniy V. Bodyanskiy
A Hybrid Cascade Neuro-Fuzzy Network with Pools of Extended Neo-Fuzzy Neurons and its Deep Learning. Int. J. Appl. Math. Comput. Sci. 29(3): 477-488 (2019) - [j21]Alexander Vlasenko
A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting. Data 4(3): 126 (2019) - [c59]Alina Shafronenko
Fuzzy Clusterization of Distorted by Missing Observations Data Sets Using Evolutionary Optimization. ACIT 2019: 217-220 - [c58]Yevgeniy V. Bodyanskiy
Spline-Orthogonal Extended Neo-Fuzzy Neuron. CISP-BMEI 2019: 1-6 - [c57]Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko:
Online Neuro Fuzzy Clustering of Data with Omissions and Outliers based on Сompletion Strategy. CMIS 2019: 18-27 - [c56]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Valeriia Slepanska:
Formal Neuron Based on Adaptive Parametric Rectified Linear Activation Function and its Learning. DCSMart 2019: 14-22 - [c55]Yevgeniy V. Bodyanskiy
Fuzzy Clustering High-Dimensional Data Using Information Weighting. ICAISC (1) 2019: 385-395 - [c54]Nonna Kulishova, Yevgeniy V. Bodyanskiy
The Extended Generalized Neo-Fuzzy Network and Its Online Learning in Image Recognition Problem. IDAACS 2019: 34-39 - [c53]Yevgeniy V. Bodyanskiy
2D-Deep Neural Network and Its Online Rapid Learning. IDAACS 2019: 304-307 - [c52]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala:
Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks. IDDM 2019: 1-15 - [c51]Iryna Perova
Recognition of Human Primitive Motions for the Fitness Trackers. ISDMCI 2019: 364-376 - [c50]Yevgeniy V. Bodyanskiy
Online Robust Fuzzy Clustering of Data with Omissions Using Similarity Measure of Special Type. ISDMCI 2019: 637-646 - [e1]David Luengo, Sergey Subbotin, Peter Arras, Yevgeniy V. Bodyanskiy, Karsten Henke, Ivan Izonin, Vitaly G. Levashenko, Volodymyr Lytvynenko, Anzhelika Parkhomenko, Andreas Pester, Natalya Shakhovska, Alexei Sharpanskykh, Galyna Tabunshchyk, Carsten Wolff, Heinz-Dietrich Wuttke, Elena Zaitseva:
Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), Zaporizhzhia, Ukraine, April 15-19, 2019. CEUR Workshop Proceedings 2353, CEUR-WS.org 2019 [contents] - 2018
- [j20]Yevgeniy V. Bodyanskiy
Kernel Fuzzy Kohonen's Clustering Neural Network and It's Recursive Learning. Autom. Control. Comput. Sci. 52(3): 166-174 (2018) - [j19]Zhengbing Hu
A neuro-fuzzy Kohonen network for data stream possibilistic clustering and its online self-learning procedure. Appl. Soft Comput. 68: 710-718 (2018) - [j18]Yevgeniy V. Bodyanskiy
The Extended Multidimensional Neo-Fuzzy System and Its Fast Learning in Pattern Recognition Tasks. Data 3(4): 63 (2018) - [j17]Iryna Perova, Yevgeniy V. Bodyanskiy:
Adaptive Human Machine Interaction Approach for Feature Selection-Extraction Task in Medical Data Mining. Int. J. Comput. 17: 113-119 (2018) - [c49]Iryna Pliss, Olena O. Boiko, Valentyna Volkova, Yevgeniy V. Bodyanskiy:
Matrix Deep Neural Network and Its Rapid Learning in Data Science Tasks. ACIT 2018: 141-144 - [c48]Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova:
The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning. ACIT 2018: 161-164 - [c47]Yevgeniy V. Bodyanskiy
Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions. DepCoS-RELCOMEX 2018: 56-63 - [c46]Iryna Perova
Medical Data-Stream Mining in the Area of Electromagnetic Radiation and Low Temperature Influence on Biological Objects. DSMP 2018: 3-6 - [c45]Polina Ye. Zhernova
Adaptive Kernel Data Streams Clustering Based on Neural Networks Ensembles in Conditions of Uncertainty About Amount and Shapes of Clusters. DSMP 2018: 7-12 - [c44]Yevgeniy V. Bodyanskiy
The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks. DSMP 2018: 113-118 - [c43]Alina Shafronenko
Fuzzy Clustering of Distorted Observations Based on Optimal Expansion Using Partial Distances. DSMP 2018: 327-330 - [c42]Yevgeniy V. Bodyanskiy
The Multidimensional Extended Neo-Fuzzy System and its Fast Learning for Emotions Online Recognition. DSMP 2018: 473-477 - [c41]Yevgeniy V. Bodyanskiy
Deep 2D-Neural Network and its Fast Learning. DSMP 2018: 519-523 - [c40]Yevgeniy V. Bodyanskiy
Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning. FedCSIS 2018: 29-33 - [c39]Iryna Perova, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Mikolaj P. Karpinski, Pawel Rudyk:
Fuzzy Clustering of Biomedical Datasets Using BSB-Neuro-Fuzzy-Model. IDDM 2018: 21-28 - 2017
- [j16]Yevgeniy V. Bodyanskiy
On-line kernel clustering based on the general regression neural network and T. Kohonen's self-organizing map. Autom. Control. Comput. Sci. 51(1): 55-62 (2017) - [j15]Iryna Perova, Yevgeniy V. Bodyanskiy:
Fast Medical Diagnostics using Autoassociative Neuro-fuzzy Memory. Int. J. Comput. 16: 34-40 (2017) - [j14]Yevgeniy V. Bodyanskiy
Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning. Neurocomputing 230: 409-416 (2017) - [j13]Yevgeniy V. Bodyanskiy
An evolving connectionist system for data stream fuzzy clustering and its online learning. Neurocomputing 262: 41-56 (2017) - [c38]Zhengbing Hu
A hybrid growing ENFN-based neuro-fuzzy system and its rapid deep learning. CSIT (1) 2017: 514-519 - [c37]Yevgeniy V. Bodyanskiy
Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning. DepCoS-RELCOMEX 2017: 49-59 - [c36]Galina Setlak
Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network. EUSFLAT/IWIFSGN (3) 2017: 308-315 - [c35]Yevgeniy V. Bodyanskiy
Evolving GMDH-neuro-fuzzy system with small number of tuning parameters. ICNC-FSKD 2017: 1321-1326 - [i9]Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova:
Fuzzy Clustering Data Given in the Ordinal Scale. CoRR abs/1701.03571 (2017) - [i8]Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova:
Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing. CoRR abs/1702.01200 (2017) - 2016
- [j12]Yevgeniy V. Bodyanskiy
Adaptive learning of an evolving cascade neo-fuzzy system in data stream mining tasks. Evol. Syst. 7(2): 107-116 (2016) - [c34]Zhengbing Hu
A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering. CSIT 2016: 119-122 - [c33]Yevgeniy V. Bodyanskiy
Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. DepCoS-RELCOMEX 2016: 51-61 - [c32]Yevgeniy V. Bodyanskiy
A fast learning algorithm of self-learning spiking neural network. DSMP 2016: 104-107 - [c31]Yevgeniy V. Bodyanskiy
Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks. DSMP 2016: 257-262 - [c30]Yevgeniy V. Bodyanskiy
Adaptive robust models for identification of nonstationary systems in data stream mining tasks. DSMP 2016: 263-268 - [c29]Yevgeniy V. Bodyanskiy
Data streams fast EM-fuzzy clustering based on Kohonen's self-learning. DSMP 2016: 309-313 - [c28]Zhengbing Hu
A deep cascade neuro-fuzzy system for high-dimensional online fuzzy clustering. DSMP 2016: 318-322 - [c27]Galina Setlak
Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. FedCSIS 2016: 141-145 - [i7]Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani:
An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm. CoRR abs/1610.06483 (2016) - [i6]Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko:
An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes. CoRR abs/1610.06484 (2016) - [i5]Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani:
A Multidimensional Cascade Neuro-Fuzzy System with Neuron Pool Optimization in Each Cascade. CoRR abs/1610.06485 (2016) - [i4]Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko:
Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model. CoRR abs/1610.06486 (2016) - [i3]Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Anastasiia O. Deineko:
An Evolving Neuro-Fuzzy System with Online Learning/Self-learning. CoRR abs/1610.06488 (2016) - [i2]Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko:
An Ensemble of Adaptive Neuro-Fuzzy Kohonen Networks for Online Data Stream Fuzzy Clustering. CoRR abs/1610.06490 (2016) - [i1]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Volodymyr Savvo, Tatiana Tverdokhlib, Pavlo Mulesa:
Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis. CoRR abs/1610.07857 (2016) - 2015
- [j11]Yevgeniy V. Bodyanskiy
An evolving radial basis neural network with adaptive learning of its parameters and architecture. Autom. Control. Comput. Sci. 49(5): 255-260 (2015) - [j10]Yevgeniy V. Bodyanskiy
A hybrid cascade neural network with an optimized pool in each cascade. Soft Comput. 19(12): 3445-3454 (2015) - [c26]Nonna Kulishova
Flexible 2D membership functions for images filtering using fuzzy peer group approach. CSIT 2015: 82-84 - [c25]Yevgeniy V. Bodyanskiy
Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. CSIT 2015: 111-114 - [c24]Yevgeniy V. Bodyanskiy
An evolving neuro-fuzzy system for online fuzzy clustering. CSIT 2015: 158-161 - [c23]Yevgeniy V. Bodyanskiy
Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms. IDAACS 2015: 328-333 - 2014
- [j9]Yevgeniy V. Bodyanskiy
Evolving spiking wavelet-neuro-fuzzy self-learning system. Appl. Soft Comput. 14: 252-258 (2014) - 2013
- [j8]Yevgeniy V. Bodyanskiy
Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification. Inf. Sci. 220: 170-179 (2013) - [c22]Olga Kalynychenko, Sergii Chalyi
Implementation of search mechanism for implicit dependences in process mining. IDAACS 2013: 138-142 - [c21]Yevgeniy V. Bodyanskiy, Artem Dolotov:
A Spiking Neuron Model based on the Lambert W Function. IJCCI 2013: 542-546 - 2012
- [j7]Yevgeniy V. Bodyanskiy, Irina Pliss, Valentyna Volkova:
Modified Probabilistic Neuro-fuzzy Network for Text Documents Processing. Int. J. Comput. 11(4): 391-396 (2012) - 2011
- [j6]Yevgeniy V. Bodyanskiy
Matrix Neuro-Fuzzy Self-Organizing Clustering Network. Sci. J. Riga Tech. Univ. Ser. Comput. Sci. 45: 54-58 (2011) - [c20]Yevgeniy V. Bodyanskiy
Semantic annotation of text documents using modified probabilistic neural network. IDAACS (1) 2011: 328-331 - 2010
- [j5]Yevgeniy V. Bodyanskiy
Autoassociative Memory Evolving System Based on Fuzzy Basis Functions. Sci. J. Riga Tech. Univ. Ser. Comput. Sci. 42: 9-14 (2010) - [c19]Yevgeniy V. Bodyanskiy
Fast Training of Neural Networks for Image Compression. ICDM 2010: 165-173
2000 – 2009
- 2009
- [j4]Yevgeniy V. Bodyanskiy
A Multilayered Self-Learning Spiking Neural Network and its Learning Algorithm Based on 'Winner-Takes-More' Rule in Hierarchical Clustering. Sci. J. Riga Tech. Univ. Ser. Comput. Sci. 40: 66-74 (2009) - [c18]Yevgeniy V. Bodyanskiy
Function Decomposition Network. ICANN (1) 2009: 718-727 - 2008
- [c17]Yevgeniy V. Bodyanskiy
Robust Learning Algorithm for Networks of Neuro-Fuzzy Units. SCSS (1) 2008: 343-346 - [c16]Yevgeniy V. Bodyanskiy
Multilayer Neuro-fuzzy Network for Short Term Electric Load Forecasting. CSR 2008: 339-348 - 2006
- [j3]Yevgeniy V. Bodyanskiy
Neural network approach to forecasting of quasiperiodic financial time series. Eur. J. Oper. Res. 175(3): 1357-1366 (2006) - 2005
- [j2]Yevgeniy V. Bodyanskiy
An adaptive learning algorithm for a wavelet neural network. Expert Syst. J. Knowl. Eng. 22(5): 235-240 (2005) - [c15]Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Valeriya Poyedyntseva:
Neuro-fuzzy Kolmogorov's Network. ICANN (2) 2005: 1-6 - [c14]Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Irina Pliss:
Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks. ICANN (2) 2005: 59-65 - [c13]Yevgeniy V. Bodyanskiy
Neuro-Fuzzy Kolmogorov's Network for Time Series Prediction and Pattern Classification. KI 2005: 191-202 - [c12]Yevgeniy V. Bodyanskiy:
Computational Intelligence Techniques for Data Analysis. Leipziger Informatik-Tage 2005: 15-36 - 2004
- [c11]Vitaliy Kolodyazhniy, Yevgeniy V. Bodyanskiy
Universal Approximator Employing Neo-Fuzzy Neurons. Fuzzy Days 2004: 631-640 - [c10]Yevgeniy V. Bodyanskiy
Combined Learning Algorithm for a Self-Organizing Map with Fuzzy Inference. Fuzzy Days 2004: 641-650 - [c9]Vitaliy Kolodyazhniy, Yevgeniy V. Bodyanskiy
Fuzzy Kolmogorov's Network. KES 2004: 764-771 - [c8]Yevgeniy V. Bodyanskiy
Fuzzy Selection Mechanism for Multimodel Prediction. KES 2004: 772-778 - 2003
- [j1]Peter Otto, Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy:
A new learning algorithm for a forecasting neuro-fuzzy network. Integr. Comput. Aided Eng. 10(4): 399-409 (2003) - [c7]Yevgeniy V. Bodyanskiy, Illya Kokshenev, Vitaliy Kolodyazhniy:
An adaptive learning algorithm for a neo fuzzy neuron. EUSFLAT Conf. 2003: 375-379 - [c6]Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy:
Resource-allocating probabilistic neuro-fuzzy network. EUSFLAT Conf. 2003: 392-395 - [c5]Yevgeniy V. Bodyanskiy
A learning probabilistic neural network with fuzzy inference. ICANNGA 2003: 13-17 - [c4]Yevgeniy V. Bodyanskiy
An Optimal Algorithm for Combining Multivariate Forecasts in Hybrid Systems. KES 2003: 967-972 - [c3]Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Jürgen Wernstedt:
Probabilistic Neuro-fuzzy Network with Non-conventional Activation Functions. KES 2003: 973-979 - 2001
- [c2]Yevgeniy V. Bodyanskiy
An Adaptive Learning Algorithm for a Neuro-fuzzy Network. Fuzzy Days 2001: 68-75
1990 – 1999
- 1999
- [c1]Yevgeniy V. Bodyanskiy, S. A. Vorobyov, Andreas Stephan:
Detection of NARMA-sequence order using recurrent artificiai neural networks. ECC 1999: 71-76
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-04 20:46 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: