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Барцев, С. И.
Батурина, П. М.
2020-01-20T08:01:07Z
2020-01-20T08:01:07Z
2019-06
Барцев, С. И. A heuristic neural network model in the research of properties of evolutionary trajectories [Текст] / С. И. Барцев, П. М. Батурина // IOP Conference Series: Materials Science and Engineering. — 2019. — Т. 537. — С. 1-7
https://iopscience.iop.org/article/10.1088/1757-899X/537/4/042001
http://elib.sfu-kras.ru/handle/2311/129519
There is considerable data on molecular evolution, but there remains no approach to systematizing them within the framework of the key problems of biology. To search for the most common properties of evolving systems, the heuristic method has been proposed. Artificial networks of formal neurons were chosen as the heuristic model object. The paper examines the divergent component of evolutionary trajectory formation. As a result of the simulation, the dependence of the potential variability parameter on the position of the fitness function landscape was obtained. The simulation results are in agreement with the real data of molecular evolution experiments.
A heuristic neural network model in the research of properties of evolutionary trajectories
Journal Article
Published Journal Article
1-7
34.03.23
2020-01-20T08:01:07Z
10.1088/1757-899X/537/4/042001
Институт фундаментальной биологии и биотехнологии
Кафедра биофизики
IOP Conference Series: Materials Science and Engineering
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без квартиля


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