most citedAn Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes

4 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG20163 cited

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

Yevgeniy Bodyanskiy, Olena Vynokurova, Volodymyr Savvo +2

The hybrid clustering-classification neural network is proposed. This network allows increasing a quality of information processing under the condition of overlapping classes due t…

cs.AI2016

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…

cs.AI2016

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…

cs.AI20162 cited

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…

cs.AI2016

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…

cs.AI20164 cited

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…