Solution of the Applied Task to Determine Total Exposure for Mechanical Engineering Workers

Opis bibliograficzny
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 142 : Innovative Technologies in Engineering.— 2016.— [012114, 7 p.]
1. autor: Medvedeva O. V. Olesya Vladimirovna
organizacja autorów: Национальный исследовательский Томский политехнический университет (ТПУ) Юргинский технологический институт (филиал) (ЮТИ) Кафедра безопасности жизнедеятельности, экологии и физического воспитания (БЖДЭФВ), Национальный исследовательский Томский политехнический университет (ТПУ) Юргинский технологический институт (филиал) (ЮТИ) Кафедра экономики и автоматизированных систем управления (ЭАСУ)
Kolejni autorzy: Orlova K. N. Kseniya Nikolaevna, Borovikov I. F.
Streszczenie:Title screen
In everyday life, people repeatedly exposed to ionizing radiation. Radiation sources is as natural background radiation due to the natural radioactivity of the earth, cosmic and solar radiation and artificial emitters in enterprise engineering. Therefore, the determination of the total human exposure in engineering industry will consist of a variety of factors will be strictly defined for a specific person, and undoubtedly true. Neural network technology can completely resolve this problem, follow neyroalgoritm presented in this paper.
Język:angielski
Wydane: 2016
Hasła przedmiotowe:
Dostęp online:http://dx.doi.org/10.1088/1757-899X/142/1/012114
http://earchive.tpu.ru/handle/11683/34780
Format: Elektroniczne Rozdział
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650491
Opis
Streszczenie:Title screen
In everyday life, people repeatedly exposed to ionizing radiation. Radiation sources is as natural background radiation due to the natural radioactivity of the earth, cosmic and solar radiation and artificial emitters in enterprise engineering. Therefore, the determination of the total human exposure in engineering industry will consist of a variety of factors will be strictly defined for a specific person, and undoubtedly true. Neural network technology can completely resolve this problem, follow neyroalgoritm presented in this paper.
DOI:10.1088/1757-899X/142/1/012114