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Просмотр Публикации в изданиях других стран по автору "Golovko, Vladimir"
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A New Technique for Restricted Boltzmann Machine Learning
(Information Science Warsaw University of Technology, 2015)Over the last decade, deep belief neural networks have been a hot topic in machine learning. Such networks can perform a deep hierarchical representation of input data. The first layer can extract low-level features, the second layer can extract high-level features and so on. In general, deep belief ...2023-11-01
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Estimation the Lyapunov Spectrum from One-Dimensional Observation Using Neural Networks
(Lviv polytechnic, 2003)This paper discusses the neural network approach for computing of Lyapunov spectrum using one dimensional time series from unknown dynamical system. Such an approach is based on the reconstruction of attractor dynamics and applying of multilayer perceptron (MLP) for forecasting the next state of ...2023-12-06
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Multilayer Neural Networks Training Methodic
(Lviv polytechnic, 2003)Is proposed three new techniques for training of jnpUt vector If is defined as' multilayer neural networks. Its basic concept is based on the gradient descent method. For every methodic are showed formulas for calculation of the adaptive training steps. Matrix algorithmization for all of this techniques ...2023-12-06
