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Applying Neural Networks for the Identification of Control Object Mathematical Models for the Control Problems on this training set. For a trained neural network, a set of optimal control problems is solved. The optimal

Evolution of Artificial Neural Networks 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, 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© 2020 IEEE. The classical six-layer neural network is considered. This network is used

G-Networks: Development of the Theory of Multiplicative Networks 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 networksThe paper examines the possibility of application of the rule base and neural network, as elements

Выбор архитектуры нейронной сети для задачи распознавания физической активности 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, 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 of system parameters can be used to provide estimations for optimal thresholds through artificial neural

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