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Ensembles of neural network for telemetry multivariate time series forecasting
Doudkin, A. A., Marushko, E. E.
data using neural network ensembles. Approaches to the forming neural network ensembles are analyzed
Ensembles of neural network for telemetry multivariate time series forecasting
Doudkin, A. A., Marusko, E. E.
series of telemetry data using ensemble neural networks. Approaches to the construction of neural network
A renaissance of neural networks in drug discovery
Baskin I., Winkler D., Tetko I.
© 2016 Informa UK Limited, trading as Taylor & Francis Group.Introduction: Neural networks
A renaissance of neural networks in drug discovery
Baskin I., Winkler D., Tetko I.
© 2016 Informa UK Limited, trading as Taylor & Francis Group.Introduction: Neural networks
Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty
Gurevich P., Stuke H.
in regression tasks performed by artificial neural networks. It is based on the simultaneous training of two
Deep Neural Networks for Emotion Recognition
Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A., Demidova A.V.
cell were used as models of deep neural networks. On their basis, an ensemble of neural networks
Нейросетевая технология обработки сигналов от средств контроля технических объектов
Дудкин, А. А., Марушко, Е. Е., Doudkin, A. A., Marushko, Y. Y.
контроля. The paper presents a technology based on an ensemble of neural networks that solves the problem
Algorithm for the Formation of a Training Set for a Neural Network on the Recognition of Chart Patterns
chart pattern. The forecast is formed by an ensemble of neural networks. Each of the networks
MGFEEN: a multi-granularity feature encoding ensemble network for remote sensing image classification
Jean Bosco Musabe, Jean Pierre Rutarindwa, Muthanna M.S., Jean Pierre Kwizera, Muthanna Ammar, Abd El-Latif A.A.
Deep convolutional neural networks (DCNNs) have emerged as powerful tools in diverse remote sensing
Comparison of hybrid approaches in classification using decision trees and neural networks
Fomchenko, A.
as with the original algorithms themselves– the decision tree, ensemble of trees and the multilayer neural network

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