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Analysis of Finite Fluctuations as a Basis of Defining a Set of Neural Network Model InputsThe paper describes an approach on the defining a set of neural network model inputs analyzing
Scenarios for using neural networks in the architecture of the futureThe article discusses the prospects of using neural networks in architecture. The purpose
Российские студенты о возможностях и ограничениях использования искусственного интеллекта в обучении on the Russian university students' assessment of their personal experience of using generative AI models (neural
Построение искусственных
нейронных сетей в Е-сетевом базисе monitoring and teaching the artificial neural network to model the operators actions.
Machine learning methods for modeling the kinetics of combustion in problems of space safety. The results of the obtained neural network showed that the presented model is capable of approximating
Neural network technologies and topological analysis of social media data of the integration of neural network and mathematical models for solving such tasks. Mathematical models are built
Infinite order systems of differential equations and large scale random neural networksIn this paper we consider dynamics of complex systems using random neural networks with an infinite
Ability of neural network cells in learning teacher motivation scale and prediction of motivation with fuzzy logic system). Artificial intelligence (AI) is a new domain that the methods of its data analysis could provide
Neural Network Self-Learning Model for Complex Assessment of Drinking Water Safety for Consumers assessment of the safety of drinking water, the method of clustering was chosen, namely, the neural network
Simulation of the vehicle test based on the design of elements of artificial intelligence, the base use case, the database and the neural networks that are part of the knowledge base. A mathematical
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