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Machine learning methods in computational toxicology
forest, several types of neural networks, and deep learning is the focus of attention of this review

Cardiac Arrhythmia Disorders Detection with Deep Learning Models of the electrocardiogram classifier is proposed, as an ensemble of a two-dimensional convolutional neural network and a

Evolution of Artificial Neural NetworksThe history of artificial neural networks originates from the distant 1943, when Warren Mc

Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Network. Part II: Correlation Maximization after the neural network training without a subsequent post-training and compare our algorithm

Использование ансамбля сверточных нейронных сетей для распознавания дорожных знаковUsage of convolutional neural network ensemble for traffic sign recognition

Neural Network Models of Time Series of Network Traffic IntensitiesThe paper presents the results of building neural network predictive models of the occupancy

Video Sequence Filtering Based On Convolutional Neural NetworkVideo Sequence Filtering Based On Convolutional Neural Network

Training neural network for pattern recognitionThe article presents the problems connected with the subjects of neural networks: biological

Нейросетевая система мониторинга состояния и поведения подсистем космических аппаратов по телеметрическим данным для наземного командно-измерительного комплекса in the system method of the long-term forecasting based on the ensembles of neural networks informative features.

Ансамбли нейронных сетей для классификации состояний и режимов функционирования подсистем космического аппаратаNeural networks ensembles for classification of operation states and modes of spacecraft subsystems

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