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Neuroinformatics Presumptions of Semantic Representations EvolutionObviously, the brain is both very large and very heterogeneous neural network that is complex
Research on the natural language recognition method based on cluster analysis using neural network of dynamic knowledge extraction based on sentence clustering recognition using a neural network
On the Classification of Cytological Images of Leukocytes Using Depthwise Separable Convolutional Neural Networks images of blood cells using deep learning methods is implemented. A model for the classification of blood
The role of neural networks in cybersecurity systemAs you can see from the title this text is about the role of neural network in cybersecurity system
Combining simulated annealing and RBF networks for accurate volumetric fraction determination of two-phase flows of this study is to use a Radial Basis Function (RBF) neural network developed through Simulated Annealing (SA
Построение и оценка эффективности нейросетевых моделей клонирования голоса generative model for cloning such stylistic characteristics of a voice as pitch, tempo and timbre of speech
An approach to abstractive summarization for norwegian bokmål classic TextRank and modern neural networks based ones, the best method, which uses named entity
Повышение устойчивости решения задачи оптимизации режимов закачки нагнетательных скважин result of neural network optimization of injection well operation modes when performing a new calculation
Применение сверточных нейронных сетей для обнаружения и распознавания изображений на основе самописного генератора objects using convolutional neural networks. The purpose of the work is to implement an algorithm
Новый подход к моделированию формальных нейронов и их взаимодействий neural
networks adding the extra properties to the formal
neuron model is undertaken. We
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