name
Shestakov Alexander Valentinovich
Scholastic degree
•
Academic rank
—
Honorary rank
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Organization, job position
• South Federal University
доцент
Research interests
нейронные сети
Web site url
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Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 2
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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MODELS OF NEURONS WITH MEMORY OF STATE FOR ORGANIZATION OF NEUROEVOLUTIONAL CALCULATIONS
DescriptionThe article discusses the model of a neuron with memory. The proposed model is formed based on the model of the dynamic neuron. The proposed solutions allow to efficiently model dynamic processes and to provide a two-level scheme for evolution of neural networks. The first level of evolution is achieved using traditional neuro-evolution models that allow you to create or to modify basic network settings. The second level allows you to track the history of the development process. The article presents a formal description of the proposed models and algorithms of functioning of the network, is the rationale for the use of the proposed models
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MODELING NEURAL INTERACTIONS WITH THE USE OF CELLULAR AUTOMATION
DescriptionThis article considers the organization of neuralnetwork interactions based on models of cellular automata. These models are focused on improving the efficiency of the iterative processes of functioning of neural networks and their learning. The models considered in this article are presented in the form of two-level hierarchical structures. Models of the lower level are defined as "cellular neural element". They are based on formal descriptions of the dynamic neurons with the additional insertion of the state functions and the special procedures of formation of the specified function. Also, we have added special methods for forming patterns of activation functions. The conception of developed models is based on the use of the theory of graphs, theory of neural networks and the mechanism of cellular automata. These models will be used as the basis for software modeling