Solution of the Applied Task to Determine Total Exposure for Mechanical Engineering Workers
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 142 : Innovative Technologies in Engineering.— 2016.— [012114, 7 p.] |
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| 1. autor: | |
| organizacja autorów: | , |
| Kolejni autorzy: | , |
| 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
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| 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 |
| 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. |
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| DOI: | 10.1088/1757-899X/142/1/012114 |