Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Sviatov IS"'
Artificial neural networks (ANNs) experience catastrophic forgetting (CF) during sequential learning. In contrast, the brain can learn continuously without any signs of catastrophic forgetting. Spiking neural networks (SNNs) are the next generation o
Externí odkaz:
http://arxiv.org/abs/2111.09553
Publikováno v:
In Neural Networks November 2022 155:512-522
Publikováno v:
In Neurocomputing 4 August 2020 400:73-85
Autor:
Kirill Sviatov, Nadejda Yarushkina, Daniil Kanin, Ivan Rubtcov, Roman Jitkov, Vladislav Mikhailov, Pavel Kanin
Publikováno v:
Technologies, Vol 9, Iss 4, p 100 (2021)
The article describes a structural and functional model of a self-driving car control system, which generates a wide class of mathematical problems. Currently, control systems for self-driving cars are considered at several levels of abstraction and
Externí odkaz:
https://doaj.org/article/bd632e9f0c1548999b24bace282dc380
Publikováno v:
Mekhatronika, Avtomatizatsiya, Upravlenie. 23:414-419
Reinforcement learning is based on a principle of an agent interacting with an environment in order to maximize the amount of reward. Reinforcement learning shows amazing results in solving various control problems. However, the attempts to train a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::477b81b089d510f4eb0cb1204e67ae72
https://doi.org/10.17587/mau.23.414-419
https://doi.org/10.17587/mau.23.414-419
Publikováno v:
2022 VIII International Conference on Information Technology and Nanotechnology (ITNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51dc5bdade926bf06285f125a9204bfb
https://doi.org/10.1109/itnt55410.2022.9848596
https://doi.org/10.1109/itnt55410.2022.9848596
Publikováno v:
АВТОМАТИЗАЦИЯ ПРОЦЕССОВ УПРАВЛЕНИЯ. 63:110-118
The article describes an approach to the creation of an experience base for a software design organization, which is focused on its application in the development of software-intensive automated systems (AS). The use of the proposed experience base e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a625101088e78c5354efa3acd71a81
https://doi.org/10.35752/1991-2927-2021-1-63-110-118
https://doi.org/10.35752/1991-2927-2021-1-63-110-118
Publikováno v:
Computational Science and Its Applications – ICCSA 2020
This article describes the design process of a software package for image recognition of a mobile robot camera using neural networks with attention, which allows to identify the probability of a robot colliding with obstacles standing in its way. A k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::a0235b83cb974622101d798ca9be53df
http://europepmc.org/articles/PMC7974996
http://europepmc.org/articles/PMC7974996
Publikováno v:
Neurocomputing. 400:73-85
Artificial neural networks experience serious catastrophic forgetting (or interference) when information is learned sequentially. A significant effort in the machine learning community is devoted to the solution of this problem. Many approaches to ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f6f1f059d12ccc3219bf7e1b29369d3
https://doi.org/10.1016/j.neucom.2020.03.024
https://doi.org/10.1016/j.neucom.2020.03.024
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 155
Artificial neural networks (ANNs) experience catastrophic forgetting (CF) during sequential learning. In contrast, the brain can learn continuously without any signs of catastrophic forgetting. Spiking neural networks (SNNs) are the next generation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a80cf96b4c44d0d741c6ab5f33806252
https://pubmed.ncbi.nlm.nih.gov/36166978
https://pubmed.ncbi.nlm.nih.gov/36166978