Solution of the Applied Task to Determine Total Exposure for Mechanical Engineering Workers; IOP Conference Series: Materials Science and Engineering; Vol. 142 : Innovative Technologies in Engineering
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 142 : Innovative Technologies in Engineering.— 2016.— [012114, 7 p.] |
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| Egile nagusia: | |
| Egile korporatiboa: | , |
| Beste egile batzuk: | , |
| Gaia: | 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. |
| Hizkuntza: | ingelesa |
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2016
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| Sarrera elektronikoa: | http://dx.doi.org/10.1088/1757-899X/142/1/012114 http://earchive.tpu.ru/handle/11683/34780 |
| Formatua: | Baliabide elektronikoa Liburu kapitulua |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650491 |
| Gaia: | 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 |