26 citations · 51 across the 7 of their papers we have counts for
8 papers
Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko +1
A task of clustering data given in the ordinal scale under conditions of overlapping clusters has been considered. It's proposed to use an approach based on memberhsip and likeliho…
Fuzzy Clustering Data Given in the Ordinal Scale
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko +1
A fuzzy clustering algorithm for multidimensional data is proposed in this article. The data is described by vectors whose components are linguistic variables defined in an ordinal…
An Ensemble of Adaptive Neuro-Fuzzy Kohonen Networks for Online Data Stream Fuzzy Clustering
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko +1
A new approach to data stream clustering with the help of an ensemble of adaptive neuro-fuzzy systems is proposed. The proposed ensemble is formed with adaptive neuro-fuzzy self-or…
An Evolving Neuro-Fuzzy System with Online Learning/Self-learning
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Anastasiia O. Deineko
An architecture of a new neuro-fuzzy system is proposed. The basic idea of this approach is to tune both synaptic weights and membership functions with the help of the supervised l…
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 +1
An evolving weighted neuro-neo-fuzzy-ANARX model and its learning procedures are introduced in the article. This system is basically used for time series forecasting. This system m…
A Multidimensional Cascade Neuro-Fuzzy System with Neuron Pool Optimization in Each Cascade
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
A new architecture and learning algorithms for the multidimensional hybrid cascade neural network with neuron pool optimization in each cascade are proposed in this paper. The prop…
An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko +1
Neo-fuzzy elements are used as nodes for an evolving cascade system. The proposed system can tune both its parameters and architecture in an online mode. It can be used for solving…
An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
A modification of the neo-fuzzy neuron is proposed (an extended neo-fuzzy neuron (ENFN)) that is characterized by improved approximating properties. An adaptive learning algorithm…