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[1]
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Reconstruction of measurement data with multiple outliers using novel domain-based RBF
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Mechanical Systems and Signal …,
2024 |
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[2]
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Training a Radial Basis Function Network Under Transformed Probability Measure
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IEEE Signal Processing Letters,
2023 |
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[3]
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Adaptive ADALINE Robust Training Algorithm Under the Maximum Correntropy Criterion With Variable Center.
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COLINS,
2022 |
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[4]
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Adaptive ADALINE Robust Training Algorithm Under the Maximum Correntropy Criterion With Variable Center
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2022 |
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[5]
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Adaptive identification under the maximum correntropy criterion with variable center
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RADIOELECTRONIC AND COMPUTER …,
2022 |
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[6]
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Про один алгоритм ідентифікації лінійних обʼєктів на основі найменшого ексцесу
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… Technical Journal" Problems of Control and …,
2022 |
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[7]
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Методи інтелектуальної обробки просторових даних в геоінформаційних системах екологічного моніторингу
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2021 |
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[8]
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Developing a Multi-Step Recurrent Algorithm to Maximize the Criteria of Correntropy
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2021 |
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[9]
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ADALINE Robust Multistep Training Algorithm
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Control systems & computers,
2020 |
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[10]
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Studying the Properties of a Robust Algorithm for Identifying Linear Objects, Which Minimizes a Combined Functional
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2020 |
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[11]
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Function Approximation in Mechanics Using Non-Neural and Neural Methods
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2020 |
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[12]
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Robust identification of non-stationary objects with nongaussian interference
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2019 |
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[13]
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Аппроксимация функций с помощью нейронных сетей и нечетких систем
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2018 |
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[14]
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Processing of Noisy Digital Images with Use of Evolving Autoencoders
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2017 |
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[15]
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Modern neural methods for function approximation
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Issues in the Use of Neural Networks in Information Retrieval,
2017 |
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[16]
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Обработка зашумленных цифровых изображений с применением эволюционирующих автоэнкодеров
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2017 |
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[17]
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Алгоритм нечеткой классификации вертикальных элементов строки для сжатия изображения текста
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2016 |
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[18]
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Speaker Identification and Spoken word Recognition In Noisy Background using Artificial Neural Networks
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International Conference on Electrical, Electronics, and Optimization Techniques,
2016 |
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[19]
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An Effective Solution to Regression Problem by RBF Neuron Network
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International Journal of Operations Research and Information Systems (IJORIS),
2015 |
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[20]
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Robust Neuroevolutionary Identification of Nonlinear Nonstationary Objects
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Cybernetics and Systems Analysis,
2014 |
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[21]
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РОБАСТНАЯ НЕЙРОЭВОЛЮЦИОННАЯ ИДЕНТИФИКАЦИЯ НЕЛИНЕЙНЫХ НЕСТАЦИОНАРНЫХ ОБЪЕКТОВ
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Кибернетика и системный анализ,
2014 |
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[22]
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АДАПТИВНОЕ МАСШТАБИРОВАНИЕ ШАГА ДИСКРЕТИЗАЦИИ ВХОДНЫХ ДАННЫХ ПРИ АППРОКСИМАЦИИ ФУНКЦИЙ С ПОМОЩЬЮ РБФ
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2013 |
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[23]
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Robust Multiobjective Identification of Nonlinear Objects Based on Evolving Radial Basis Networks
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Journal of Automation and Information Sciences,
2013 |
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[24]
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Robust identification of nonlinear objects with the help of an evolving radial basis network
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Cybernetics and Systems Analysis,
2013 |
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[25]
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Робастная идентификация нелинейных объектов с помощью эволюционирующей радиально-базисной сети
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Кибернетика и системный анализ,
2013 |
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[26]
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Radial basic networks M-training by asymmetric influence functions
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Journal of Automation and Information Sciences,
2012 |
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[27]
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М-ОБУЧЕНИЕ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ
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Обчислювальний ?нтелект ,
2011 |
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[28]
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Municipal bond volatility spillover modeling with COVID-19 effects by hybrid integration of GARCH and machine learning: The connectedness of US states and …
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