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The use of recurrent neural networks to solve a regression type problem with the problem of predicting the trend of financial time series using the LSTM neural network. The time series
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
Examples of the use of artificial neural networks in the analysis of geodata visualization, and comparison of results are marked. The results of application of
artificial neural networks
Model of an artificial neural network for solving the problem of controlling a genetic algorithm using the mathematical apparatus of the theory of Petri nets neural network is able to control changes in the parameters of the functioning of the operators
Neural Network Technologies for Control of Subsystems of Small Spacecraft intelligence systems: artificial neural networks and neurocomputers for control, diagnostics and decision
Artificial intelligence and the future of humansArtificial intelligence and the future of humans
What are the pros, cons and pitfalls of open artificial intelligence?What are the pros, cons and pitfalls of open artificial intelligence?
Artificial neural networks in digital antenna arraysThe possibility of using a multilayer neural network of direct distribution in the basis of a beam
A renaissance of neural networks in drug discovery© 2016 Informa UK Limited, trading as Taylor & Francis Group.Introduction: Neural networks
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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