Keyword "NEURAL NETWORKS" found in the following publications:
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 ...
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, ...
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 ...
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- ...
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 ...
Today, the construction of residential complexes is one of the priority areas of the dynamic regions of the ...
This article discusses the prospects, technologies and methods of using biometric data in cryptosystems. A method of using ...
Introduction: Nowadays an increase in the amount of information creates the need to replace and update data processing technologies. One ...
The article presents the result of the development and training of 4 recurrent neural network architectures to solve the ...
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 ...
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 ...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 ...
Human oral speech often has an emotional connotation; this is due to the fact that emotions and our mood ...