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The effect of the neural activity on topological properties of growing neural networks in neural networks. By using a two-dimensional activity-dependent growth model we demonstrated the neural
Comparative analysis of methods for simulating the well operation with electric submersible pump installations adaptation of parameters and artificial neural networks. Such combined models have been shown to possess
Neural network forecasting in prediction Sharpe ratio: Evidence from EU debt marketThis study analyzes a neural networks model that forecast Sharpe ratio. The developed neural
Инновационная онлайн-платформа ViSurgery для расчета телерентгенограмм с использованием искусственного интеллектаArtificial neural networks are now a common component of machine learning in many computer
Neural networks for aerosol particles characterization© 2016 Elsevier LtdMultilayer perceptron neural networks with one, two and three inputs are built
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
Extraction of Human Body Parts in Image Using Convolutional Neural Network and Attention Model and attention model. The novelty of the proposed work is that algorithm is based on a convolutional neural
Current Transformer Saturation Detection Method Based on Artificial Neural Network. The article proposes to use an artificial neural network for this purpose, which, together
FPGA based real time hand detection by means of colour segmentation consists of an artificial neural network, which classifies particular single
pixels whether they belong
Использование нейронных сетей в неразрушающем контроле деталей подвижного состава of artificial neural networks to detect and classify defects and predict equipment
failures.
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