Research of Changes in the Structure of the Neural Network for the Problem of Polypedial Movement

Student: Rusanov Andrey

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Computer Systems and Networks (Master)

Final Grade: 8

Year of Graduation: 2019

In this paper was explored the dependence of the parameters of an artificial neural network used for machine learning of walking robot models on the characteristics of models. For the study, models of learning agents, environment model, model of artificial neural network were developed. The aim of the work is to identify the presence of a correlation between the characteristics of the learning agent and the parameters of artificial neural networks that produce learning. Article size - 55 pages, the number of illustrations – 21, tables - 2, sources used - 14.

Full text (added May 26, 2019)

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