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Applying Neural Networks for the Identification of Control Object Mathematical Models for the Control Problems
Diveev A., Konstantinov S.
on this training set. For a trained neural network, a set of optimal control problems is solved. The optimal
Evolution of Artificial Neural Networks
Averkin, A. N., Yarushev, S. A., Аверкин, А. Н., Ярушев, С. А.
and optimization algorithms were proposed. There was a time when neural networks were left in oblivion, but after
Neural network technology to search for targets in remote sensing images of the Earth
Abramov N.S., Talalayev А.А., Fralenko V.P., Shishkin O.G., Khachumov V.M.
, the preparation tools for training samples, optimal configuration and use of deep learning neural networks using
Neural network method of dynamic biometrics for detecting the substitution of computer
features optimal system and neural network architecture searching is developed. We suggested the most
Convolution Neural Network Learning Features for Handwritten Digit Recognition
Kayumov Z., Tumakov D.
© 2020 IEEE. The classical six-layer neural network is considered. This network is used
G-Networks: Development of the Theory of Multiplicative Networks
Bocharov P.P., Vishnevskii V.M.
systems and networks and biophysical neural networks for solving pattern recognition and other problems.
Forming the knowledge base of truck transmission control module with using artificial neural networks
Mullahmetov A., Simonova L.
The paper examines the possibility of application of the rule base and neural network, as elements
Выбор архитектуры нейронной сети для задачи распознавания физической активности
Маринич, П. С., Борискевич, А. А., Marynich, P. S., Boriskevich, A. A.
архитектура работы сверточной нейронной сети. Обоснован выбор среды разработки. The optimal neural network
Optimal Scheduling in General Multi-Queue System by Combining Simulation and Neural Network Techniques
Efrosinin D., Vishnevsky V., Stepanova N.
, we propose to combine simulation and neural network techniques to solve this problem. The scheduling
Estimation of the optimal threshold policy in a queue with heterogeneous servers using a heuristic solution and artificial neural networks
Efrosinin D., Stepanova N.
of system parameters can be used to provide estimations for optimal thresholds through artificial neural

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