A heuristic neural network model in the research of properties of evolutionary trajectories

International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"

材料科学;机械制造;原子能学

Bartsev, S.^1^2 ; Baturina, P.^2

Institute of Biophysics SB RAS, Federal Research Center, Krasnoyarsk Scientific Center SB RAS, 50, Akademgorodok, Krasnoyarsk

660036, Russia^1

Siberian Federal University, 79 Svobodny pr., Krasnoyarsk

660041, Russia^2

关键词: Artificial networks;    Common property;    Evolving systems;    Fitness functions;    Heuristic model;    Molecular evolution;    Neural network model;    Trajectory formation;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/537/4/042001/pdf
DOI  :  10.1088/1757-899X/537/4/042001

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

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.