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Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks
TLDR
In the paper, the deep evolving neural network and its learning algorithms (in batch and on-line mode) are proposed. Expand
  • 21
Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm
TLDR
In this paper the hybrid neuro-neo-fuzzy system of computational intelligence is proposed. Expand
  • 17
Deep evolving GMDH-SVM-neural network and its learning for Data Mining tasks
TLDR
In the paper, the deep evolving neural network and its learning algorithms are proposed. Expand
  • 7
ADAPTIVE WAVELET-NEURO-FUZZY NETWORK IN THE FORECASTING AND EMULATION TASKS
The architecture of adaptive wavelet-neuro-fuzzy-network and its learning algorithm for the solving of nonstationary processes forecasting and emulation tasks are proposed. The learning algorithm isExpand
  • 15
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Diagnostic Neuro-Fuzzy System and Its Learning in Medical Data Mining Tasks in Conditions of Uncertainty about Numbers of Attributes and Diagnoses
  • I. Pliss, I. Perova
  • Computer Science
  • Automatic Control and Computer Sciences
  • 1 November 2017
TLDR
Architecture and learning method for evolving diagnostic neuro-fuzzy-system for Medical Data Mining tasks in situation of uncertainty about quantities of attributes and diagnoses are proposed. Expand
  • 9
Hybrid Adaptive Systems of Computational Intelligence and Their On-line Learning for Green IT in Energy Management Tasks
TLDR
In this book chapter, we have considered a topical problem of intelligent energy management, which arises in the context of an intensively developed science direction—Green IT. Expand
  • 11
THE CASCADE ORTHOGONAL NEURAL NETWORK
in the paper new non-conventional growing neural network is proposed. It coincides with the Cascade- Correlation Learning Architecture structurally, but uses ortho-neurons as basic structure units,Expand
  • 6
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Flexible Neo-fuzzy Neuron and Neuro-fuzzy Network for Monitoring Time Series Properties
TLDR
A new flexible modification of neofuzzy neuron, neuro-fuzzy network based on these neurons and adaptive learning algorithms for the tuning of their all parameters are proposed. Expand
  • 17
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THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS AND ITS LEARNING ALGORITHMS FOR ON-LINE INFORMATION PROCESSING
Abstract: New non-conventional system of the computational intelligence is proposed. It has growing structure similar to the Cascade-Correlation Learning Architecture designed by S. E. Fahlman and C.Expand
  • 3
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Deep Hybrid System of Computational Intelligence with Architecture Adaptation for Medical Fuzzy Diagnostics
TLDR
In the paper the deep hybrid system of computational intelligence with architecture adaptation for medical fuzzy diagnostics is proposed. Expand
  • 14
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