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Application of neural networks for the diagnosis of depth sucker rod pumps the possibility of neural network use the software was developed based with perceptron and Hamming neural networ
Generating Sport Summaries: A Case Study for Russian of modern extractive and abstractive approaches. The results demonstrate that BERT-based models show modest
Research and development of facial emotion recognition methods from images of artificial neural networks (ANNs) of deep learning, capable of independently extracting the necessary
An Accurate Approach for Predicting Soil Quality Based on Machine Learning in Drylands with the artificial neural networks (ANN) model. However, the efficiency of ANN depends on the accuracy of the data
Studying the dynamics of ecological processes models using intelligent control artificial neural networks. Based on the method of constructing self-consistent stochastic models
Permeability prediction using hybrid neural network modelling in well logging. The method is based on the use of a hybrid neural network model consisting of several
An artificial neural network and a combined capacitive sensor for measuring the void fraction independent of temperature an d pressure change s for a two-phase homogeneous fluid, such as temperature, pressure, and density, plays a role. This paper presents the use of an Artificial Neural Network
ОСНОВНАЯ ПРОБЛЕМА ВЫЧИСЛИТЕЛЬНОЙ МАТЕМАТИКИ И ЕЕ СВЯЗЬ С ИСКУССТВЕННЫМ ИНТЕЛЛЕКТОМThe problem of creating artificial intelligence is considered. It is shown that to create
Constructing a Neural-Net Model of Network Traffic Using the Topologic Analysis of Its Time Series Complexity of building a predicting neural-net model of the time sequence of network traffic. Topological data analysis
The basis of an automated design system of the packed absorber using neural networks© Published under licence by IOP Publishing Ltd. An optimal artificial neural network has been
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