Keyword "NEURAL NETWORKS" found in the following publications:

• NEW ARCHITECTURES AND ALGORITMS OF TRAINING THE ADAPTIVE RESONANCE THEORY TO NEURAL NETWORKS

  The article analyzes the advantages and disadvantages of architectures and algorithms of training the Adaptive Resonance Theory (ART) to discrete ...

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• DESIGN OF RECURRENT NEURAL NETWORKS FOR CLASSIFICATION OF AGE DIFFERENCES IN THE FUNCTIONING OF THE SYMBOLIC SYSTEM OF QUANTITY ASSESSMENT

  The article presents the result of the development and training of 4 recurrent neural network architectures to solve the ...

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• THE DECISION OF THE TASK OF CLASSIFICATION OF HUMAN BRAIN PATHOLOGIES ON MRI IMAGES

  The article discusses the methods of classification of MRI images of the human brain. The methods are trained ...

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• USE OF RANDOM BIOMETRIC IMAGES FOR GENERATING CRYPTO-RESISTANT SEQUENCES USING GENERATIVE-COMPETITIVE NEURAL NETWORKS

  This article discusses the prospects, technologies and methods of using biometric data in cryptosystems. A method of using ...

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• ПЕРСПЕКТИВЫ ПРИМЕНЕНИЯ МАШИННОГО ОБУЧЕНИЯ И НЕЙРОННЫХ СЕТЕЙ В ЦИФРОВЫХ СИСТЕМАХ ДЛЯ ПРОВЕДЕНИЯ ФАРМАКОЛОГИЧЕСКИХ ИССЛЕДОВАНИЙ ЛЕКАРСТВЕННЫХ СРЕДСТВ

  Introduction: Nowadays an increase in the amount of information creates the need to replace and update data processing technologies. One ...

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• INFORMATION TECHNOLOGIES IN THE MANAGEMENT OF INDUSTRIAL ENTERPRISES

  This article discusses the use of information technologies in relation to the tasks of managing an industrial enterprise, ...

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• COMPARATIVE ANALYSIS OF METHODS FOR DETECTING OBJECTS ON RADAR IMAGES USING NEURAL NETWORKS

  Radar systems are an effective means of obtaining operational information about the state and dynamics of objects and ...

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• SENTIMENT ANALYSIS OF TEXT BY MACHINE LEARNING METHODS

  There is a gigantic amount of information in the world. One of the most common forms of information storage ...

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• PRE-PROCESSING NEUROPHYSIOLOGICAL DATA ALGORITHM

  The article is devoted to the development of an algorithm for pre-processing of neurophysiological data obtained using fNIRS (functional near- ...

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• THE USE OF GENERATIVE-ADVERSARIAL NEURAL NETWORKS FOR IMAGE GENERATION

  This article discusses the topic of image generation using neural networks. Thanks to the development of deeper learning ...

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• INCREASING ACCURACY CLASSIFICATION OF X-RAY IMAGES USING TRAINING OF COMPOSITE NEURAL NETWORK

  This article is devoted to solving the problem of classifying chest x-ray images by using the retraining of a ...

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• DEVELOPMENT OF THE MODEL OF ESTIMATION AND FORECASTING OF THE STATE OF SOILS OF RURAL-URBAN TERRITORY ON THE BASIS OF THE ARTIFICIAL NEURAL NETWORK

  Today, the construction of residential complexes is one of the priority areas of the dynamic regions of the ...

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